Cyprus

Permanent, Full Time

Summary

NG Bailey IT Services are currently recruiting a Data Engineer / Managed Services Engineer with experience in both structured and voice cabling to support our contract covering our MOD contract in Cyprus responding to break fix / faults and minor projects across the portfolio.

The Data Engineer will have experience of installation and fault finding of Structured and Voice Cabling systems and preferably hold the CNCI (Certified Network Cable Installer) qualification. You will be responsible for responding to any of our managed service contract break fix requests as per the contract SLA’s. It will be desirable to have experience as a service engineer of Electronic IP Security Systems.

This position works in an MOD area where SC Security Clearance (DV Clearance Desirable) is required therefore current or previous Security Clearance is preferred. If you do not have security clearance, this will be requested at offer stage and a condition of employment.

This role is based in Cyprus, therefore initial transportation costs and removals will be provided.

Some of the key deliverables in this role will include:

• Monitor the quality and productivity against programme and maintain daily site records and reports
• Ensuring design and installation meets internal and client specifications and statutory requirements
• Locate and rectify faults on structured cabling systems
• Work from construction drawings

What we’re looking for:

• Driving Licence
• UKATA (CAT A) Asbestos Awareness - Desirable
• Manual Handling
• Working at Height
• DV Security Clearance (Preferred - Clearance will be required following offer stage)
• Knowledge of MOD Standards
• IOSH Working Safely - Desirable
• PASMA/IPAF - Desirable
• Certified Network Cable Installer (CNCI) - Desirable
• Accreditation NACCOSS – NSI Certification - Desirable

Benefits:

• Overseas Allowance
• Company provided vehicle.
• 25 days holiday
• Transfer Grant & Removal Costs
• Transportation to Cyprus for staff and dependants
• Private Medical Insurance for yourself and dependants If also relocating
• Free 24/7 365 Employee Assistance Program to support mental health and wellbeing (including counselling sessions and legal advice)
• Personal development programme

About UsWe are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training.You will be working as part of a team, we are committed to creating a culture where we treat each other fairly and with respect, recognising everyone as an individual.Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.Fair Processing Notices for Cifas’ DatabasesThe personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by [https://fpn].

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

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

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

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

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.

Are you a Data Engineer passionate about buildingscalable, cloud-first data platformsthat power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making.

What Youll Do:

• Build, test, and maintainETL/ELT pipelinesfor structured and unstructured data.
• Design and optimisedata warehouses, lakes, and cloud-native platforms.
• Implementmonitoring, security, and compliance frameworksin line with regulations (e.g., GDPR, financial standards).
• Deliverhigh-quality datasetsto analysts, data scientists, and business stakeholders.
• Work with modern technologies, includingcloud platforms, orchestration tools, and streaming frameworks.

What Were Looking For:

• StrongSQL & Pythonskills.
• Hands-on experience withETL/ELT tools(e.g., Matillion, Talend, FiveTran, Azure Data Factory).
• Experience designing and managingcloud data platforms(Snowflake essential; AWS/Azure/GCP desirable).
• Soliddata modelling knowledgeand performance optimisation skills.
• Awareness ofdata governance, security, and regulatory compliance.
• Ability to work closely with technical and business teams to deliver impactful solutions.

Nice-to-Haves:

• Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis).
• CI/CD experience and DevOps practices for data workflows.
• Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy).
• Experience in financial services or other highly regulated industries.

Are you a Data Engineer passionate about building scalable, cloud-first data platforms that power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making.

What Youll Do:

Build, test, and maintain ETL/ELT pipelines for structured and unstructured data.

Design and optimise data warehouses, lakes, and cloud-native platforms .

Implement monitoring, security, and compliance frameworks in line with regulations (e.g., GDPR, financial standards).

Deliver high-quality datasets to analysts, data scientists, and business stakeholders.

Work with modern technologies, including cloud platforms, orchestration tools, and streaming frameworks .

What Were Looking For:

Strong SQL & Python skills.

Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory).

Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/GCP desirable).

Solid data modelling knowledge and performance optimisation skills.

Awareness of data governance, security, and regulatory compliance .

Ability to work closely with technical and business teams to deliver impactful solutions.

Nice-to-Haves:

Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis).

CI/CD experience and DevOps practices for data workflows.

Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy).

Experience in financial services or other highly regulated industries.

TPBN1_UKTJ

In the role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client’s Data Analytics platform.

You will:

Work with both the business teams data scientists and engineers to design, build, optimise and maintain production grade data pipelines and reporting from an internal Data warehouse solution, based on GCP/Big Query

Work with finance, actuaries, data scientists and engineers to understand how the client can make best use of new internal and external data sources

Work with the client’s delivery partners at to ensure robustness of Design and engineering of the data model/ MI and reporting which can support their ambitions for growth and scale

BAU ownership of data models, reporting and integrations/pipelines

Create frameworks, infrastructure and systems to manage and govern data assets

Produce detailed documentation to allow ongoing BAU support and maintenance of data structures, schema, reporting etc.

Work with the broader Engineering community to develop the client’s data and MLOps capability infrastructure

Ensure data quality, governance, and compliance with internal and external standards.

Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy.

TPBN1_UKTJ

Open Shift Telemetry Job Description Role Overview

Role / Job Title: OpenShift Telemetry

Work Location: London / Sheffield
Mode of Working: Hybrid
Office Requirement (if hybrid): 10 days a month

The Role

We are seeking a skilled OpenShift Telemetry Engineer to join our team.

Your Responsibilities

In this role, you will be:

Primarily responsible for implementing, managing, and optimizing the observability stack within a Red Hat OpenShift Container Platform environment to ensure system health, performance, and security.

Bridge the gap between application monitoring and infrastructure, leveraging different tools like tools.

Your Profile Essential Skills / Knowledge / Experience

Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale.
Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment.
Engineer data models and routing for multi-tenant observability; ensure lineage, quality, and SLAs across the stream layer.
Integrate processed telemetry into Splunk for visualization, dashboards, alerting, and analytics to achieve Observability Level 4 (proactive insights).
Implement schema management (Avro/Protobuf), governance, and versioning for telemetry events.
Build automated validation, replay, and backfill mechanisms for data reliability and recovery.
Instrument services with Open Telemetry; standardize tracing, metrics, and structured logging across platforms.
Use LLMs to enhance observability capabilities (e.g., query assistance, anomaly summarization, runbook generation).
Collaborate with platform, SRE, and application teams to integrate telemetry, alerts, and SLOs.
Ensure security, compliance, and best practices for data pipelines and observability platforms.
Document data flows, schemas, dashboards, and operational runbooks.

Desirable Skills / Knowledge / Experience / Personal Attributes

Hands-on experience building streaming data pipelines with Kafka (producers/consumers, schema registry, Kafka Connect/KSQL/Stream).
Proficiency with OpenShift/Kubernetes telemetry (Open Telemetry, Prometheus) and CLI tooling.
Experience integrating telemetry into Splunk (HEC, UF, source types, CIM), building dashboards and alerting.
Strong data engineering skills in Python (or similar) for ETL/ELT, enrichment, and validation.
Knowledge of event schemas (Avro/Protobuf/JSON), contracts, and backward/forward compatibility.
Familiarity with observability standards and practices; ability to drive toward Level 4 maturity (proactive monitoring, automated insights).
Understanding of hybrid cloud and multi-cluster telemetry patterns.
Security and compliance for data pipelines: secret management, RBAC, encryption in transit/at rest.
Good problem-solving skills and ability to work in a collaborative team environment.
Strong communication and documentation skills.

Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices.
Salary up to £65k plus company benefits.

About Us

Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years’ experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers.

At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you’re valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you’ll be trusted, challenged, and empowered to grow.

We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you’re passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you.

Glassdoor score of 4.7

96% of our staff would recommend Triad to a friend

100% CEO approval

See for yourself some of the work that makes us all so proud:

Helping law enforcement with secure intelligence systems that keep the UK safe

Supporting the UK’s national meteorological service in leveraging supercomputers for next-level weather forecasting

Assisting a UK government department responsible for consumer product safety with systems to track unsafe products

Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport

Role Summary

Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes.

Key Responsibilities

Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS.

Create and manage data models that support efficient storage, retrieval, and analysis of data.

Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions.

Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure.

Develop, optimise and maintain robust data pipelines using Apache Airflow.

Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use.

Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements.

Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability.

Identify data quality issues and implement data validation and cleansing processes.

Maintain clear and comprehensive documentation covering data pipelines, models, and best practices.

Work within a continuous integration environment with automated builds, deployments, and testing.

Skills and Experience

• Strong experience designing and building data pipelines on cloud platforms, particularly AWS.
• Excellent proficiency in developing ETL processes and data transformation workflows.
• Strong SQL skills (postgresql) and advanced Python coding capability (essential).
• Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential).
• Understanding of Terraform codebases to create and manage AWS infrastructure.
• Experience developing, optimising, and maintaining data pipelines using Apache Airflow.
• Familiarity with distributed data processing systems such as Spark or Databricks.
• Experience working with high-performing, low-latency, or large-volume data systems.
• Ability to collaborate effectively within cross-functional, agile, delivery-focused teams.
• Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy.

Qualifications & Certifications

• A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable).
• Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK.

Triad’s Commitment to You

As a growing and ambitious company, Triad prioritises your development and well-being:

• Continuous Training & Development: Access to top-rated Udemy Business courses.
• Work Environment: Collaborative, creative, and free from discriminatioBenefits:
  • 25 days of annual leave, plus bank holidays.
  • Matched pension contributions (5%).
  • Private healthcare with Bupa.
  • Gym membership support or Lakeshore Fitness access.
  • Perkbox membership.
  • Cycle-to-work scheme.

What Our Colleagues Have to Say

Please see for yourself on Glassdoor and our “Day in the Life” videos at the bottom of our Careers Page.

Our Selection Process

After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for:

1. A technical test including numerical, logical and verbal reasoning
2. A technical interview with our consultants
3. A management interview to assess cultural fit

We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation.

Other Information

If this role is of interest to you or you would like further information, please contact Ryan Jordanand submit your application now.

Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.

Hedge Fund background essential

C++ (Version 11 upwards), Linux, Python (nice to have). Trading systems experience - ideally experience working in the equities space.
Ideally the technical has experience with algo implementation.

Quantitative Developer - Equities Technology

We are in search of a Quantitative Developer to join our team who is passionate about designing, architecting, and implementing low latency C++ systems that are not only robust, resilient, and accurate, but also exceptionally fast. Our team works directly with the firm’s central trading teams. By constructing and maintaining this high-performance infrastructure used by these teams, this developer will enable new trading opportunities across businesses and regions, allowing the best possible execution performance.

Job Duties

• Development of execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Work directly with central trading teams to optimize the firm’s overall execution performance.
• Enhance the platform’s efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
• Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
• Assist in building and maintaining our automated tests, performance benchmark framework, and other tools
• Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment

Qualifications

• 5+ years of professional experience in a Front Office, financial services environment as a senior contributor
• 10+ years cumulative, professional experience
• Strong background in data structures, algorithms, and object-oriented programming in C++

Permanent role - Central London based - 5 days a week in the office

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight.

You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently.

This is a newly created role in a growing business. A brilliant opportunity!

The following skills/experience is required:

• Proven operational leadership for large-scale data platforms.
• Expertise in incident management, SLA enforcement, and stakeholder communication.
• Hands-on experience with Azure Synapse, Databricks, ADF, Power BI.
• Familiarity with CI/CD and automation.
• Strong FinOps mindset and cost management experience.
• Knowledge of monitoring and observability frameworks.

Salary: Up to £90,000 + bonus + package

Level: Lead Engineer

Location: London (good work from home options available)

If you are interested in this Lead DataOps Engineer (Big Data) position and meet the above requirements please apply immediately.

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight.

You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently.

This is a newly created role in a growing business. A brilliant opportunity!

The following skills/experience is required:

• Proven operational leadership for large-scale data platforms.
• Expertise in incident management, SLA enforcement, and stakeholder communication.
• Hands-on experience with Azure Synapse, Databricks, ADF, Power BI.
• Familiarity with CI/CD and automation.
• Strong FinOps mindset and cost management experience.
• Knowledge of monitoring and observability frameworks.

Salary: Up to £90,000 + bonus + package

Level: Lead Engineer

Location: London (good work from home options available)

If you are interested in this Lead Big Data Ops Engineer position and meet the above requirements please apply immediately.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you’re working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you’ll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

The Data Analyst plays a key role on a large-scale infrastructure project, focusing on the development and ongoing maintenance of the project s connected digital environment. The role involves analysing data to support decision-making and ensure project objectives are met.

You will work closely with information management and project controls teams, using data to improve project efficiency and support digital transformation initiatives.

You will join the FBRS (Ferrovial BAM Joint Venture) Information Management Team (IM), where your responsibilities will include ensuring systems integration, designing data modelling processes, and developing algorithms and predictive models to extract the data required by the project. You will also collaborate with teams across the project to support data analysis and share insights.

Candidates need to demonstrate outstanding attention to detail, self-motivation, and the ability to take initiative. They should also have strong Power BI expertise and experience using FME for data integration.

Key Responsibilities:

• Collect, process, and analyse construction project data from multiple sources.
• Support project teams with data quality checks.
• Use FME to support information sharing and provide basic training on FME to project teams. Ensure project team members receive essential instruction on ETL tools (FME).
• Drive digital transformation by identifying and implementing process and workflow efficiency improvements.
• Support the integration of project systems with internal and client platforms.
• Work closely with digitalisation and project controls teams to ensure accurate data flow and project insights.
• Analyse datasets to identify trends, patterns and actionable insights.
• Create and maintain Power BI dashboards, visualisations, and reports for executive and project stakeholders.
• Work closely with the client, RSA delivery team and Project Information Manager to ensure system stability and improvement.
• Ensure the project complies with relevant legislation, project standards, and client requirements.

Key Skills and qualifications:

• Strong organisational skills to manage multiple tasks, projects, and data streams effectively.
• Ability to perform Quality Assurance checks according to the project and industry standards
• Ability to coordinate and manage own workload support project delivery.
• Familiarity with BIM, Python/R and UK construction data standards.
• Familiarity with ETL tools like FME and GIS integrations.
• Strong communication, stakeholder engagement, and problem-solving skills.
• Experience in large infrastructure projects.

Location: London

Please note that this job description does not represent a comprehensive list of activities and employees may be requested to undertake other reasonable duties.

The Ferrovial BAM Joint Venture (FBJV) has a successful history of delivering critical infrastructure for the UK on time and to budget together in joint venture partnership. They first worked together in 2010 as BFK, delivering three Crossrail contracts, including the longest stretch of tunnelling works between Royal Oak and Farringdon and Farringdon Station, the first central station to be completed on the Elizabeth Line. The team is also delivering the Silvertown Tunnel project together in East London and has been delivering excellence at each stage of HS2, such as Fusion JV for the Enabling Works packages, EKFB for the central Main Works Contract and now delivering the track infrastructure across the entire HS2 route.

Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!

Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a Protected Class ), or any other protected class in accordance with applicable laws.

Senior Machine Learning Engineer - Data Science Focus

Based in London (Hybrid - 2 days onsite)

Permanent, Full-Time

Salary: Up to 95,000 (depending on experience)

We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you’ll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning.

You’ll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you’re passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you.

Role and Responsibilities

• Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods).
• End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies.
• Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications.
• Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS.
• Model governance: Apply best practices for evaluation, drift monitoring, and compliance.
• Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions.

Key Skills and Experience

• Master’s degree in a STEM or quantitative discipline (PhD nice to have).
• 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI).
• Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation.
• Production-grade Python proficiency and ability to write clean, maintainable code.
• Comfortable with complex SQL queries.
• Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified.
• Experience with Docker and Kubernetes in production environments.
• Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable.
• Strong communication skills and ability to explain technical concepts clearly.

Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects.

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.

Location: London - 3 days onsite
Salary 75,000 - 85,000 Neg DOE
Reference : J13057

Note: Full and current UK working rights required for this role

We’re currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content.

Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets
Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle’s Microsoft Fabric environment
Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics
Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis
Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem
Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews
Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution
Translate business and analytical needs into well-structured data models and technical solutions
Automate data workflows to minimise manual processes and improve operational reliability
Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers
Stay current with data engineering best practices, particularly within the Microsoft technology stack

Skills & Experience
5+ years’ experience working as a Data Engineer or in a similar role
Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus
Strong proficiency in Spark SQL and PySpark, including complex transformations
Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent
Ability to write efficient, reusable scripts for transformation, validation, and automation
Hands-on experience integrating data from APIs (REST, JSON), including automated data collection
Solid understanding of data modelling best practices for analytics and dashboards
Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs)
Strong problem-solving skills and the ability to diagnose and resolve data issues
Excellent communication skills and experience working with cross-functional teams
Genuine curiosity about how data drives content performance, audience behaviour, and monetisation

If this sounds like the role for you then please apply today!

The Finance Systems & IT Support Analyst acts as the dedicated technical specialist for all Finance-related systems, providing expert-level support, system administration, and data management across platforms such as Microsoft Dynamics, SQL Server, Visual Studio, Power Bi, Metabase and associated tools. In addition to Finance systems expertise, this role provides general IT function, contributing to the stability, integration, and performance of business-critical applications across the organisation.

Key Responsibilities

Finance Systems Administration & Support

• Serve as the primary IT point of contact for Finance systems, ensuring smooth operation and timely issue resolution.
• Support and administer Microsoft Dynamics, Evision and related financial applications.
• Develop and maintain SQL scripts, queries, and reports to support Finance data analysis and system integrations.
• Manage data pipelines and transformations using DBT and other tools to ensure data accuracy and integrity.
• Maintain and optimise Metabase dashboards and reports, ensuring reliable, insightful financial reporting.
• Oversee user access, permissions, and system configurations in accordance with IT and Finance policies.

Collaboration & Continuous Improvement

• Work closely with Finance teams to understand system needs, recommend improvements, and implement solutions.
• Collaborate with vendors and internal IT teams on system upgrades, integrations, and performance enhancements.
• Document system configurations, processes, and best practices to support training and compliance requirements.
• Identify opportunities to automate workflows and improve reporting efficiency across systems.

General IT

• Provide comprehensive IT support for business-critical applications, including troubleshooting, system administration, and technical escalation as required, contributing to the overall IT service function.
• Support data integrity, backup, and compliance processes in collaboration with IT Operations.
• Assist with audit preparation, ensuring Finance systems meet internal and external compliance standards.

Qualifications & Experience

Essential:

• Strong hands-on experience with Microsoft Dynamics (Evision, Jet reports)
• Proficient in SQL for query writing, data manipulation, and reporting.
• Working knowledge of Metabase and Power BI.
• Experience with DBT for data transformation and pipeline management.
• Excellent troubleshooting, communication, and documentation skills.

Desirable:

• Exposure to ERP or finance system integrations and data warehousing concepts.
• Experience supporting or developing APIs or data exchange workflows.
• Familiarity with Power Automate, Power BI, or Azure Data Services.
• Experience within facilities management, construction, property, or professional services industries.

Key Competencies

• Analytical mindset with strong attention to detail.
• Collaborative communicator who can bridge Finance and IT teams.
• Problem-solver with a proactive and structured approach.
• Adaptable and capable of managing multiple priorities effectively.
• Customer-focused and committed to delivering high-quality system support.

Data Platform Engineer – London

(AWS, Apache Spark, AWS Glue, Iceberg, S3, RDS, Redshift, Kafka/MSK, Python, Terraform, Ansible, CI/CD, Jenkins, GitLab, Snowflake, Databricks)

Working with an established FinTech client in London who is looking for a Data Platform Engineer to play a key role in defining, building, and evolving their enterprise Data Lakehouse platform during an exciting period of growth. You’ll work closely with Platform Engineering and Application Engineering teams, taking ownership of the infrastructure, patterns, standards,and tooling used to build and operate data products across the business.

The role focuses on ensuring the data platform is resilient,secure, reliable, and cost-effective within an AWS environment. You’ll be responsible for how the platform is operated, maintained, monitored, and extended, with a strong emphasis on observability, fault prevention, and early fault detection across AWS data services.

Automation is central to the way this team works. You’ll design and maintain Infrastructure as Code and Configuration as Code solutions, supported by CI/CD pipelines, to ensure consistent, repeatable deployments and strong governance. You’ll also enhance data lake integration testing, security measures, monitoring, SLAs, and operational metrics.

Working for a tech driven organisation in a collaborative environment, for an organisation that values engineering that values engineering best practises! This client Is offering this role on hybrid basis, looking to be in the office few times per month.

For more information, please get in touch

Prospect is looking for someone who is equally passionate about football and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data engineer, and communicator, preferably with a degree in a quantitative field (such as computer science, engineering, physics, statistics or applied mathematics).

You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting landscape, from elite professional teams, to leagues and broadcasters, applying advanced analytics and modelling techniques.

Roles & Responsibilities:

• A passion for sport with an understanding of our clients’ sporting disciplines or an eagerness to learn about them.
• A strong programming proficiency in Python and SQL querying. Experience with relational database platforms.
• Knowledge of cloud technologies. It is an advantage (but not a requirement) to have had experience working with AWS.
• Excellent collaboration and communication skills.
• 4+ years of experience in big data related software development; experience with data modelling, design patterns and building highly scalable and secured solutions.
• Practical knowledge of software engineering concepts and best practices, like testing frameworks, packaging, API design, DevOps, DataOps and MLOps.
• The right to work in the United Kingdom.

Prospect is looking for someone who is equally passionate about football and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data engineer, and communicator, preferably with a degree in a quantitative field (such as computer science, engineering, physics, statistics or applied mathematics). You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting landscape, from elite professional teams, to leagues and broadcasters, applying advanced analytics and modelling techniques.

Roles & Responsibilities:

A passion for sport with an understanding of our clients’ sporting disciplines or an eagerness to learn about them. A strong programming proficiency in Python and SQL querying. Experience with relational database platforms. Knowledge of cloud technologies. It is an advantage (but not a requirement) to have had experience working with AWS. Excellent collaboration and communication skills. 4+ years of experience in big data related software development; experience with data modelling, design patterns and building highly scalable and secured solutions. Practical knowledge of software engineering concepts and best practices, like testing frameworks, packaging, API design, DevOps, DataOps and MLOps. The right to work in the United Kingdom.

Renaissance® is a global leader in education technology. We help schools and school groups in the UK and around the world with educational assessments, practice and intervention solutions, and data analytics. Renaissance now incorporates GL Assessment (known internationally as GL Education), too – a leading provider of educational assessments.

Together, our assessments offer the ideal starting point to help teachers understand their students’ strengths and pinpoint areas of need. Our teaching and learning tools then provide effective next steps, with online literacy and maths solutions that meet students exactly where we are.

Worldwide, we support over 18 million students, operating in over 100 countries.

About this role:

At Renaissance we are looking for a Business Intelligence Developer & Analyst to join us in our London Office on a hybrid basis you will work with the head of Commercial Operations to lead the design, implementation and continuous improvement of our commercial, sales and marketing data as part of our Revenue Operations team.

We are looking for someone to start ASAP initially for a 12 month fixed term contract.

Working closely with other members of the team you will be at the forefront of building a robust framework to support all our insights and reporting to help inform and steer decision making.

You will bring excellent data warehousing skills to the table, allowing the company to analyse and provide actionable insights from a dependable and high-performing platform. The individual will also be interested in learning about essential business processes, business systems, and the data that underpins them.

Business Intelligence Developer & Analyst Job Responsibilities:

Act as data lead working within a cross-functional data team building world-class scalable data-marts and automations

Design & develop data models and visualisations to monitor and forecast key metrics

Manage projects within Growth to make business changes as seamless as possible

Be responsible for automating and optimising key business processes in the Growth area

Build and support the adoption and use of self-service solutions to provide clear views of key metrics for all internal stake holders

Support business projects and initiatives, applying statistical rigour to any conclusions

Constantly evolve and improve our data including how it is surfaced with our key systems and beyond

Skills and experience required:

To be considered for the role of Business Intelligence Developer & Analyst in the commercial team you will be an established BI Developer preferably within in education technology and hold strong analytical and problem-solving abilities.

You will also have:

Experience in BI dashboarding and self-service tools including Power BI & Tableau

Established and an expert in Power Platform, Power Automate, PowerApps

Experienced in Data integration and data modelling

Have worked in / with Data warehouse & cloud experience

Proficient in Database languages including SQL

Have worked with Snowflake, and proficient in its use

As a Business Intelligence Developer & Analyst we are looking for someone who aligns with Renaissance’s mission to accelerate learning for all children and adults of all ability levels and ethnic and social backgrounds, worldwide, we are looking for someone who is/ has:

Excellent organisational, planning, time management and project management skills

Ability to communicate effectively, present and negotiate at all levels

Focused and disciplined approach, logical and has meticulous attention to detail

Ability to instil a high level of credibility and build working relationships with suppliers and internal teams

Collaborative approach; happy to support GL customer facing teams

Enthusiastic and flexible approach; ability to adapt to different situations and requirements

A positive outlook with desire to learn and embrace new concepts and ways of working

Additional information:

This is role is a Hybrid role based out of our Vantage Head office (Renaissance Vantage London, Great West Road, Brentford, TW8 9AG) with the expectation with some travel to other offices as required for team meetings.

We offer a salary of up to £60,000 per annum dependant on experience, Plus lots of amazing benefits

Previous applicants please do not re - apply.

Benefits:

Pension & Insurance – all employees can participate in our salary sacrifice company pension scheme administrated by Aviva – where we will contribute 8% of your annual salary if you contribute just 3% to your pension. All employees are entitled to Life and income protection insurance

Holiday and Bookable Leave - 22 days annual leave per annum, plus 3 complementary days to be used for our Christmas shutdown (usually between Christmas & New Year, plus UK statutory Bank Holidays. We also offer a day off for your birthday so you can celebrate in style, to be used in the month of your birthday. We also offer every UK based employee up to 5 paid volunteering days per year with a cause of your choice.

We also offer the chance to buy an additional 5 days holiday per year through our salary sacrifice scheme and you can spread the cost over 3-8months!

Growth and development – extensive training opportunities for career progression across Renaissance Learning with great leaders looking to grow your career and allow you to flourish.

Shopping & Working for Renaissance Perks - you’ll get instant access to a benefits and discount platform with 1000’s of discounts at retailers, leisure attractions, restaurants, and more through our portal provided by Reward Gateway. You will also be able to collect Renaissance Rewards via our employee recognition Platform, these points can be used to purchase items including vouchers on Renaissance Rewards platform. You will also get access to Smart tech where you can get your electrical household and personal items at the best price and spread the cost through your salary, interest free, up to £5000.

Wellbeing & Health – We have a generous maternity/paternity/adoption leave and pay policy, employee assistance programme available 24/7 offering confidential support from counselling to legal and financial advice, including Family Support Services – a specialist bereavement support to help through the most difficult times via our Help@Hand app. This app includes access to GP, physio, nutrition, counselling support, medical appointments, and so much more.

We offer access to mental health first-aiders based at all our UK sites, and remotely. We offer access to company paid BUPA PMI and BUPA cash plan optional schemes for you.

It doesn’t stop there you will also be able to protect yourself with free access to annual flu vaccinations, and the Company will also contribute towards eye tests and those on trend specs if you need them.

Renaissance UK Office benefits – All Hybrid working employees are entitled to apply for a season ticket loan, use the amazing cycle to work scheme where you can get on your bike for less, save money, and get fit - that‘s a win-win for us! All UK Offices have fruit baskets delivered for all to enjoy a healthy snack each week.

We have an ongoing commitment to Diversity, Equity and Inclusion and have taken strides to become a more welcoming and inclusive workplace, including the introduction of our DEI Matters Network which is owned and driven by our staff.

We are an equal opportunities employer. We encourage and welcome applications from all underrepresented groups, as we believe and strive for community representation within our organisation.

If you have a disability and would prefer to apply in a different format or would like us to make reasonable adjustments to enable you to apply or attend any interview, please contact us and we will talk this through with you.

All your information will be kept confidential according to GDPR guidelines. Please note that we can only consider applicants who already hold a full work permit.

This role is subject to DBS and background checks.