Job Title: Site Reliability Engineering Lead

Location: London (Hybrid)
Type: Contract, Full-Time

Overview:

Infused Solutions is recruiting a Site Reliability Engineering Lead for a global organisation. This role based in London, offers a hybrid working model for flexibility and collaboration.

You will be collaborating with product engineering teams to modernise IT operations along with being responsible for platforms which monitor system health, performance and reliability.

Responsibilities:

• Develop SRE best practices.
• Establish roadmaps for enhanced operational efficiency.
• Educating teams in SRE practices and maintaining high standards of compliance.
• Lead automation initiatives for incident response and self-healing, paving the way for autonomous operations.
• Work with cross-functional teams to ensure systems are scalable, resilient, and maintainable.
• Drive incident management and root cause analysis through automation for continuous improvement.

Requirements:

• Must have experience being a SRE lead.
• Strong experience in cloud platforms AWS and Azure
• Strong experience with Datadog and Dynatrace.
• Experience with Python and Ansible
• Experience with Docker and Kubernetes
• Attention to detail and ability to deliver tasks on time and to a high standard.

For immediate interview consideration, please contact Ahsan Iqbal.

Description
Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it and mend it.

About your team:

At Centrica Energy, our mission is to move it.

We’re energy movers by nature. We’re a global renewable energy trading company which helps move energy from source to use - powering businesses, homes, and societies as they transition to a new sustainable energy future. If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you.

The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for:

• Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk
• Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions
• Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors.

As a Senior Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in both London (UK) and Aalborg (Denmark), with a broad remit to support the development, and use of, our pricing and risk management models and systems. As well as consulting on software design, systems architecture and software engineering practices.

This role will be situated in our London or Aalborg office and the successful candidate will be required to:

• Produce high quality increments to the team’s model library - working both individually and collaboratively.
• Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation.
• Provide support to Trading & Origination on model usage and behaviour.
• Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency.

Here’s what we’re looking for:

• Master’s Degree or PhD qualification within science, computing, mathematics or other quantitative subject.
• Solid experience of code development in Python, including:
  • Experience developing in an Agile environment
  • Use of math/stats & testing libraries, as well as modern build tools.
  • Ability to refactor code and work effectively with legacy systems.
• Knowledge of Object Orientation, Software Architecture and Design Patterns.
• Good understanding of software testing practices (unit testing, integration testing, etc.). Knowledge of TDD and BDD is a strong plus.
• Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable.
• Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems.
• Familiarity or high level of interest in Energy / commodity markets.
• Strong Communicator and fluent in English language.
• Strong interpersonal skills.

#LI-CET

Why should you apply?

We’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/centricaenergy

If you’re full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture.

We’re looking for a data journalist to collaborate on data projects across the newsroom.

As a journalist on the data projects team you’ll collaborate on exciting data projects across the newsroom, generate and provide impactful data journalism, whether that’s revealing the state of decay Britain’s high streets find themselves in or how far-right rhetoric is growing on mainstream social media platforms.

You’ll pitch and develop a range of data-driven formats - from breaking news lines to in-depth investigations, explainers, in-charts analyses and feature-led analysis - using empirical insights to engage readers and strengthen accountability journalism.

About the role

• Generate and develop story ideas and projects that use sophisticated and ground-breaking methodologies.
• Acquire, clean, and analyse datasets from multiple sources, often under significant time pressure.
• Craft data-driven news, analysis and longer-term projects and investigations, from early data sourcing work through to the writing copy.
• Have a good understanding of the potential, risks and limitations of AI for journalistic purposes.
• Identify the best way of telling a story, being able to understand when a visual treatment is the right option and to conceptualise and plan a visual project.
• Clearly communicate and collaborate with reporters, correspondents, visual journalists and editors across the newsroom on a range of data-focused stories.
• Balancing data work, reporting, and writing while collaborating with visual and interactive teams to deliver both fast-turnaround stories and longer-term investigative projects to deadline.

About you

• Experience on a national/regional news organisation or magazine equivalent working with data analysis tools to generate strong news lines and rigorous analysis.
• Highly skilled in data sourcing, cleaning and analysis.
• Skilled with spreadsheet and database software. Excellent knowledge of Google sheets or equivalent; R, Python or any other coding skills would be a plus.
• Understanding of the importance of the human side of data findings and its use in storytelling as well as excellent news judgement.
• Experience of synthesising, simplifying and presenting complex information in an appealing, clear and innovative way.
• Statistics and analysis experience and familiarity with quantitative methods in social science (e.g. correlation, p-values).
• Ideally, you’ll have a demonstrable ability to bring a diverse perspective to this role.

We actively encourage applications from groups traditionally underrepresented in the UK media.

How to apply

To apply, please upload your latest CV, cover letter which outlines why you’d love to take on this role, and why you’re a great match for what we’re looking for. Please also include links to your portfolio/work.

The closing date for applications is Tuesday 10th March 2026

We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team.

All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Sean on to discuss further so we can work with you to support you through your application.

Benefits at the Guardian

You’ll have six weeks annual leave per year pro rata (plus bank holidays) with the option to purchase additional days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available.

You are entitled to life cover, income protection, and eye tests. You can also opt in to dental insurance.

We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy.

Culture and wellbeing

We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status.

We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme.

Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner.

Learning and development

We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.

Division Education for Industry Group
Hours 37 hours per week, Full-Time, Monday to Friday
Contract Fixed-Term, 2-year contract
Location FRA Academy: Electra House – London, Moorgate EC2M 6SE

About EFI Group

EFI Group has a bold mission to transform lives, careers and industries through pioneering, industry-led education in fashion, beauty and apprenticeships at the Fashion Retail Academy (FRA) and The London College of Beauty Therapy (LCBT). Our vision is to deliver exceptional learning experiences, driven by innovation, inclusion, employability, and excellence.

About the role

Are you passionate about data, analytics, and technology?

We’re looking for a Data Analyst Apprentice to join our IT team and support our work with data to improve the student experience at the EFI Group.

In this role, you’ll work alongside our Senior Business Intelligence Analyst to manage and prepare datasets, maintain dashboards and reports, and ensure data quality across our systems. You’ll gain hands-on experience with modern, cloud-based tools including SQL, Power BI, Python, Azure, and more, while learning how data supports real-world business decisions.

​​What we’re looking for:

We are seeking someone who is keen to gain hands-on experience, develop practical skills, and achieve the standards required to succeed in this role.

No prior work experience required - just enthusiasm for data, analytics, and technology!

Applicants will need:

5 GCSEs (or equivalent) at grades A-C / 9-4, including Maths, English, and a Science or Technology subject.

A Level 3 qualification (A-levels, apprenticeship or BTEC, etc.) totalling 48 UCAS points.

Eligibility for apprenticeship funding.

What you’ll gain:

On successful completion of the apprenticeship, you will achieve the Level 4 Data Analyst apprenticeship standard, approved by Skills England.

Hands-on experience with data platforms, visualisation tools, automation, APIs, and emerging technologies such as AI and machine learning.

Insight into real business systems and reporting processes, learning how data informs key decisions.

Mentorship and support from experienced professionals to develop your skills and grow your career in data analytics.

We welcome applications from all backgrounds and encourage anyone with an interest in data and technology to apply, including those from underrepresented groups in STEM, and anyone looking to start a rewarding career in analytics.

Why The EFI?

We foster a culture where our team members can lean on each other, recognise each other, and celebrate together! At EFI, we prioritise your growth and wellbeing with a range of fantastic benefits, including:

Funded Professional Qualifications: Support for personal and professional development, including a personal growth allowance and annual CPD.
Generous and Flexible Leave Options: Including an around-the-world trip after five years of service.
Market-Leading Family-Friendly Pay: Including six months of fully paid maternity, adoption, and shared parental leave.
Monthly Wellbeing Allowance: Including a customisable monthly wellbeing allowance, and funded counselling/CBT through Education Support Employee Assistant Programme.

Salary:

£26,650 per annum

How to apply/Next Steps:

Click ‘Apply for this job’ to submit your application.

Closing Date:

8am on Friday 6th March 2026

Interviews/Recruitment Day:

Tuesday 10th March 2026, in-person at FRA Academy: Electra House, Moorgate, EC2M 6SE

More Information/Contact us:

Click here to download a full job description

Click here to download the apprenticeship brochure

For more information about the EFI Group, visit our EFI website and refer to the job description.

Please contact recruitment@efigroup.ac.uk for further information.

The EFI is fully committed to safeguarding and promoting the welfare of young people and vulnerable adults. Candidates offered positions will be required to undergo thorough safeguarding background checks as a condition of the offer.

Thank you for sharing our values and commitment to student safety.

We believe in better. And we make it happen.
Better content. Better products. And better careers.
Working in Tech, Product or Data at Sky is about building the next and the
new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass,
we never stand still. We optimise and innovate.
We turn big ideas into the products, content and services millions of people
love.
And we do it all right here at Sky.

The Monitoring Development & Integration Manager is responsible for leading the design, development, and integration of advanced monitoring solutions across broadcast and media systems. Their expertise in video technology and in monitoring, coupled with strong leadership and strategic vision, makes them crucial in maintaining our company’s competitive edge in delivering reliable broadcast solutions.

What you’ll do

• Lead the development, customization, and integration of monitoring tools such as Dataminer across broadcast and media infrastructures.
• Oversee lifecycle management of monitoring tools, including upgrades, performance tuning, and vendor coordination.
• Contribute to the overall monitoring strategy, aligning tool development with business goals and operational priorities.
• Innovate and Improve: Push the boundaries of current video monitoring by researching and integrating the latest monitoring solutions, and technological advancements to enhance operational efficiency and service excellence.
• Connecting strategy and analysis wit development and platform operations, fostering alignment and shared ownership throughout the entire monitoring lifecycle-from requirement definition to solution design and implementation.
• Resource Management: Allocate resources effectively, manage budgets for video monitoring projects, and oversee the monitoring engineering team to ensure project goals are met on time and within budget.
• Lead Monitoring Initiatives: Direct strategic initiatives focused on defining and implementing monitoring requirements across operational domains, ensuring alignment with service reliability goals and operational excellence.
• Collaborate with Cross-Functional Teams: Work closely with the Product Team, Core Engineering Team, Video Engineering Team as well as with Architects to align monitoring capabilities with market needs and the overall product architecture, ensuring seamless integration and performance scalability.

What you’ll bring

• Leadership and Team Management Skills: Proven and solid previous experience of leading a team of software engineers and software developers, fostering an environment of innovation, accountability, collaboration, and driving projects to successful completion.
• Proficiency in programming languages such as C# and Python.
• Expertise in Systems reliability and monitoring: deep understanding of operational approaches, with a background in developing monitoring and observability solutions.
• Understanding of end-to-end video processing workflows , with a strong background in designing solutions for high-demand broadcast environments.
• Strategic Vision: Ability to see the bigger picture and align video monitoring strategies with broader company goals, driving innovation while maintaining both practical project management and operational excellence.
• Problem-Solving Prowess: Skilled at navigating technical and process-related challenges and optimizing video monitoring to meet the demands of modern broadcasting while maintaining a consistent and coherent approach aligned with the requirements gathered from operational teams.
• Familiarity in real-time monitoring platforms such as DataMiner and Grafana, with a strong understanding of how to leverage these tools to ensure service visibility, reliability, and operational efficiency across complex infrastructures.
• Solid understanding of technologies and methodologies for real-time control , with the ability to design, build and support responsive monitoring strategies that ensure timely decision-making and operational agility.

Team overview

CONTENT TECHNOLOGY AND INNOVATION

Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our awardwinning content

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place

• The magic of Sky Glass at an exclusive rate

• A generous pension package

• Private healthcare

• Discounted mobile and broadband

• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• Sky Q, for the TV you love all in one place

• The magic of Sky Glass at an exclusive rate

• A generous pension package

• Private healthcare

• Discounted mobile and broadband

• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• Sky Q, for the TV you love all in one place

• The magic of Sky Glass at an exclusive rate

• A generous pension package

• Private healthcare

• Discounted mobile and broadband

• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• Sky Q, for the TV you love all in one place

• The magic of Sky Glass at an exclusive rate

• A generous pension package

• Private healthcare

• Discounted mobile and broadband

• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• Sky Q, for the TV you love all in one place

• The magic of Sky Glass at an exclusive rate

• A generous pension package

• Private healthcare

• Discounted mobile and broadband

• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Senior Data Engineer (AWS Kafka Big Data) London / WFH to £85k

Are you a tech savvy Data Engineer with AWS expertise combined with client facing skills?

You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role.

As a Senior Data Engineer you will design and build end-to-end real-time data pipelines using AWS native tools, Kafka and modern data architectures, applying AWS Well-Architected Principles to ensure scalability, security and resilience. You’ll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data engineering solutions.

Location / WFH:

There’s a hybrid work from home model with two days a week in the London, City office (or at client site in London).

About you:

• You are an experienced Data Engineer within financial services or consulting environments
• You have expertise with AWS including Lake formation and transformation layers
• You have strong Python coding skills
• You have experience with real-time data streaming using Kafka
• You’re collaborative and pragmatic with excellent communication and stakeholder management skills
• You’re comfortable taking ownership of projects and working end-to-end
• You have a good knowledge of Distributed Systems and DevOps tooling
• Ideally you will also have Databricks experience

What’s in it for you:

As a Senior Data Engineer you will earn a highly competitive package:

• Salary to £85k
• Bonus c15%
• Pension (up to 7% employer contribution), Life Assurance, Income Protection
• Private medical care for you and your family, including mental health
• Travel Insurance
• Charitable giving
• Gym membership for you and your family
• Flexible holiday scheme

Apply now to find out more about this Senior Data Engineer (AWS Kafka Python) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Entity:

Technology

Job Family Group:

IT&S Group

Job Description:

Yalla is bps Internal Developer Platform (IDP), built on Kubernetes. Its a core part of how we help teams build, ship, and run software with confidence. As a Staff Engineer on the Yalla team, youll work at the intersection of software engineering and infrastructureshaping the experience of developers across bp and influencing how modern systems are built and operated at scale.

What Youll Do

Youll play a key role in guiding the platforms technical direction and supporting the engineers who build it. In this role, you will:

• Lead architectural and design decisions for the Yalla platform and set clear engineering standards.
• Partner with the head of engineering to shape priorities and ensure the platform evolves in the right direction.
• Mentor engineers through design discussions, code reviews, and hands-on coaching.
• Build platform capabilities that help developers work more efficiently, securely, and reliably.
• Write production-ready code in TypeScript, Java, .NET, Python, and Goand be comfortable learning new languages when needed.
• Design and implement REST APIs, along with strong unit test coverage and thoughtful low-level design.
• Troubleshoot issues across infrastructure, networking, and Kubernetes using Linux tools.
• Identify repetitive work (toil) and automate it using SRE and platform engineering practices.
• Build systems with observability in mind so developers and operators have clear insight into how things behave.

What Were Looking For

Core Engineering Skills

• Strong coding skills and comfort working with data structures and algorithms.
• Experience designing and building APIs.
• Ability to apply design patterns in real systems.
• A thoughtful approach to testing and quality.

Platform & SRE Skills

• Understanding of infrastructure and network design, including common failure modes.
• Experience spotting engineering toil and automating it.
• Deep knowledge of Kubernetes internalsscheduling, networking, controllers, and orchestration.
• Ability to debug infrastructure, networking, and Kubernetes issues using Linux tools.
• Strong understanding of metrics, logs, and traces, and how to build reliable systems with them.

Leadership Skills

• Ability to set technical direction and influence platform-level decisions.
• Experience guiding engineers through complex trade-offs and design choices.
• A collaborative approach to mentoring and helping others grow.
• Confidence representing the team with senior stakeholders and working across teams.

Why Join Us?

At BP, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.

There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Reinvent your career as you help our business meet the challenges of the future.

Apply now!

Travel Requirement

Up to 10% travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more}

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status.Individuals with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: Yalla is bps Internal Developer Platform (IDP), built on Kubernetes. Its a core part of how we help teams build, ship, and run software with confidence. As a Staff Engineer on the Yalla team, youll work at the intersection of software engineering and infrastructureshaping the experience of developers across bp and influencing how modern systems are built and operated at scale. What Youll Do Youll play a key role in guiding the platforms technical direction and supporting the engineers who build it. In this role, you will: Lead architectural and design decisions for the Yalla platform and set clear engineering standards. Partner with the head of engineering to shape priorities and ensure the platform evolves in the right direction. Mentor engineers through design discussions, code reviews, and hands-on coaching. Build platform capabilities that help developers work more efficiently, securely, and reliably. Write production-ready code in TypeScript, Java, .NET, Python, and Goand be comfortable learning new languages when needed. Design and implement REST APIs, along with strong unit test coverage and thoughtful low-level design. Troubleshoot issues across infrastructure, networking, and Kubernetes using Linux tools. Identify repetitive work (toil) and automate it using SRE and platform engineering practices. Build systems with observability in mind so developers and operators have clear insight into how things behave. What Were Looking For Core Engineering Skills Strong coding skills and comfort working with data structures and algorithms. Experience designing and building APIs. Ability to apply design patterns in real systems. A thoughtful approach to testing and quality. Platform & SRE Skills Understanding of infrastructure and network design, including common failure modes. Experience spotting engineering toil and automating it. Deep knowledge of Kubernetes internalsscheduling, networking, controllers, and orchestration. Ability to debug infrastructure, networking, and Kubernetes issues using Linux tools. Strong understanding of metrics, logs, and traces, and how to build reliable systems with them. Leadership Skills Ability to set technical direction and influence platform-level decisions. Experience guiding engineers through complex trade-offs and design choices. A collaborative approach to mentoring and helping others grow. Confidence representing the team with senior stakeholders and working across teams. Why Join Us? At BP, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status.Individuals with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. TPBN1_UKTJ

Senior Data Engineer (AWS Kafka Big Data) London / WFH to £85k

Are you a tech savvy Data Engineer with AWS expertise combined with client facing skills?

You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role.

As a Senior Data Engineer you will design and build end-to-end real-time data pipelines using AWS native tools, Kafka and modern data architectures, applying AWS Well-Architected Principles to ensure scalability, security and resilience. You’ll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data engineering solutions.

Location / WFH:

There’s a hybrid work from home model with two days a week in the London, City office (or at client site in London).

About you:

You are an experienced Data Engineer within financial services or consulting environments

You have expertise with AWS including Lake formation and transformation layers

You have strong Python coding skills

You have experience with real-time data streaming using Kafka

You’re collaborative and pragmatic with excellent communication and stakeholder management skills

You’re comfortable taking ownership of projects and working end-to-end

You have a good knowledge of Distributed Systems and DevOps tooling

Ideally you will also have Databricks experience

What’s in it for you:

As a Senior Data Engineer you will earn a highly competitive package:

Salary to £85k

Bonus c15%

Pension (up to 7% employer contribution), Life Assurance, Income Protection

Private medical care for you and your family, including mental health

Travel Insurance

Charitable giving

Gym membership for you and your family

Flexible holiday scheme

Apply now to find out more about this Senior Data Engineer (AWS Kafka Python) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

TPBN1_UKTJ

Hybrid - London - 3 days a week

Our client is a FTSE 100 organisation that invests in and scales businesses across a diverse range of industries. They’re looking for a Junior Data Analyst to join their Digital Solutions team. Reporting into the AI/Data Science Specialist, this will be a hands-on, learning-focused role where you’ll be supporting across a portfolio of digital projects spanning AI, IoT, analytics and operational improvement.

You’ll need to be a recent graduate with a degree in a related field like Data Science, Computer Science, Mathematics, Statistics etc. You’ll also need to be skilled in data preparation, exploratory analysis and visualisation. Having experience with Machine Learning is beneficial as you’ll contribute towards experimentation, validation and structured analytical work. You must be an excellent communicator as you’ll work with technical and nontechnical stakeholders across the organisation.

We’re looking to speak with candidates who:

• A recent graduate (or 1-2 years’ experience) in Data Science, Computer Science, Mathematics, Statistics or a related field
• Have hands-on experience with Python or similar data tools
• Understand core machine learning concepts
• Have experience with data visualisation tools
• Are highly organised, detail-oriented and capable of maintaining structured documentation

Is it time to step into a role where you take real ownership of complex, high-precision technology?

An innovative Oxfordshire-based company is seeking a Senior Software Engineer to help shape and deliver the software behind next-generation systems. This is a hands-on role combining technical leadership with close collaboration across software and advanced hardware teams.

You will play a key role in designing and developing robust applications that directly control precision hardware platforms. The position goes beyond feature delivery. You will influence architecture, strengthen engineering standards, support system deployments and mentor a small team, while remaining actively involved in coding.

This opportunity would suit an experienced engineer with a strong background in C# and .NET, alongside Python for tooling or data work. Experience developing software that interfaces with hardware systems is important, particularly where reliability, timing and real-world performance matter. You should also be confident mentoring or technically guiding other engineers.

Experience within industrial systems, cloud-connected platforms, networking or security would be advantageous.

Salary: 65,000 to 70,000.

Start April initially until Dec 2026 Central London Certain Advantage are seeking Engineers skilled in Python, PySpark and Azure infrastructure services to join a platform team supporting a major data and analytics initiative within a globally renowned Trading business in London. You must be willing to work 3 days a week onsite in central London. This Engineer position is critical to enhancing the team’s ability to deliver re-usable, high quality data pipelines, reduce bottlenecks, and accelerate insight availability for business stakeholders. We need Engineers to have a solid architectural foundation to be able to solve problems independently at a fast pace. You’ll need to offer strong effective communication skills to be able to understand requirements and communicate with technical leaders asynchronously across 5 time zones. Your initial work will involve abstracting code from our product teams into a shared, common python library leveraging PySpark/dataframes. You’ll also be building microservices in the form of python-based Azure Functions. After the initial pre-defined work, you’ll serve as an extension of the product teams building microservices and libraries to solve the common needs across the teams. Required skills: Python PySpark SQL Azure infrastructure Understanding of Containers, Microservices, and Functional design patterns Experience with Agile processes Experience with Terraform Experience with Unit Testing Preferably PyTestOptional, but recommended skills: HTML/CSS React Typescript FastAPI framework Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

London + 2 or 3 days work from home
Circ £60,000 - £70,000 + Excellent Benefits Package

A fantastic opportunity is available for a Data Engineer that enjoys working in a fast paced and collaborative team playing work environment. Our client has been expanding at a remarkable pace and have transformed their technical landscape with leading edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data driven insights and strategies right across the business globally. The Data Engineer will be joining a close-knit team that is the hub of our client s global data & analytics operation. Previous experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc.

Key Responsibilities will include;

• Design, implement, and optimize end-to-end solutions using Fabric components:
  • o Data Factory (pipelines, orchestration)
  • o Data Engineering (Lakehouse, notebooks, Apache Spark)
  • o Data Warehouse (SQL endpoints, schemas, MPP performance tuning)
  • o Real-Time Analytics (KQL databases, event ingestion)
  • o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric.
  • o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
• Troubleshoot and resolve data-related issues in a timely manner.

Key Experience, Skills and Knowledge:

• Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage
• Proficiency in development languages suitable for intermediate-level data engineers, such as:
  • Python / PySpark: Widely used for data manipulation, analysis, and scripting.
  • SQL: Essential for querying and managing relational databases.
• Understanding of D365 F&O Data Structures is highly desirable
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and expected to be in the region of £60,000 - £70,000 + an attractive benefits package including bonus scheme.

For further information, please send your CV to Wayne Young at Young’s Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business

Job Title: Site Reliability Engineering Lead

Location: London (Hybrid)
Type: Contract, Full-Time

Overview:

Infused Solutions is recruiting a Site Reliability Engineering Lead for a global organisation. This role based in London, offers a hybrid working model for flexibility and collaboration.

You will be collaborating with product engineering teams to modernise IT operations along with being responsible for platforms which monitor system health, performance and reliability.

Responsibilities:

• Develop SRE best practices.
• Establish roadmaps for enhanced operational efficiency.
• Educating teams in SRE practices and maintaining high standards of compliance.
• Lead automation initiatives for incident response and self-healing, paving the way for autonomous operations.
• Work with cross-functional teams to ensure systems are scalable, resilient, and maintainable.
• Drive incident management and root cause analysis through automation for continuous improvement.

Requirements:

• Must have experience being a SRE lead.
• Strong experience in cloud platforms AWS and Azure
• Strong experience with Datadog and Dynatrace.
• Experience with Python and Ansible
• Experience with Docker and Kubernetes
• Attention to detail and ability to deliver tasks on time and to a high standard.

For immediate interview consideration, please contact Ahsan Iqbal.

Onsite Requirements: Remote
Start Date: ASAP
Role Duration: 1 year
Clerance Requirements: Active SC clearance
Inside IR35 - umbrella only

Role Description:
We’re looking for a Data Engineer whose main focus is understanding and documenting existing systems, with the goal of supporting decommissioning activities. The role centres on analysing current solutions built using Java, Node JS, and React, and developing a clear, end to end picture of how data flows across the wider programme.
This includes documenting data flows, system dependencies, and underlying data models, ensuring there is a clear record of how data is structured, stored, and used throughout the solution. The role involves investigating how systems are used on a day-to-day basis, clarifying ownership and integration points, and capturing this information in a way that supports risk assessment and decommissioning decisions.

Responsibilities:
Python and PySpark are required as supporting capabilities, used where needed to analyse data pipelines and confirm how data moves and transforms in practice. The role also requires strong experience with testing and data quality management, ensuring that documented data flows and models are accurate and trusted. Experience working in cloud environments such as AWS or Azure is expected, with Databricks considered a nice to have.
Required Skills:

• Java background
• Node JS
• Json
• RDS
• React
• Data Modelling
• Python / Spark
• Cloud experience (AWS / Azure) o AWS Glue o Databricks
• Testing e.g. PyTest
• Data Quality e.g. Great Expectations