A major UK organisation is seeking an experienced Fusion Data Intelligence (FDI) Specialist to support and enhance their enterprise-wide Oracle Fusion data, reporting, and analytics landscape. This is a hands-on technical role with significant ownership, working at the heart of complex HCM, ERP, and EPM data flows.
You will play a key role in maturing the organisation’s FDI capability - driving high-quality data modelling, optimising performance, strengthening governance, and enabling robust, scalable reporting solutions.

Key Responsibilities

• Leverage FDI subject areas and enhance existing models to meet evolving business needs.
• Optimise data performance and query execution across FDI environments.
• Ensure data integrity, consistency, and alignment with underlying source systems.
• Work closely with report writers and business teams to maintain and enhance Oracle Data Visualization reporting solutions across Fusion HCM, ERP, and Oracle EPM Cloud datasets.
• Support and evolve data governance, security, and RBAC models for reporting solutions.
• Document data models, business logic, transformations, and metadata for reuse and governance compliance.
• Troubleshoot and resolve issues related to data modelling and reporting within FDI.
• Lead best-practice approaches for FDI deployment, security, optimisation, and performance tuning.
• Collaborate with Technology teams and third-party partners to plan, coordinate, and deliver aligned work packages.
• Champion continuous delivery and DevOps practices, driving automation and modern engineering standards.

Essential Requirements

• 3+ years’ experience working with Oracle Fusion Data Intelligence (FDI).
• Strong understanding of Fusion data structures, particularly HCM and ERP, with Oracle EPM Cloud knowledge beneficial.
• Experience loading EPM data sets into FDI.
• Expertise in Oracle Cloud Infrastructure (OCI), Oracle Integration Cloud (OIC), Oracle PaaS, and Fusion Middleware.
• Hands-on experience building data pipelines, including integration from custom schemas (eg, EPM connectors).
• Demonstrated ability to develop semantic models in FDI.
• Proven experience designing and extending security models, security contexts, and RBAC.
• Strong SQL & PL/SQL skills.
• Practical experience with performance tuning in reporting and data-intensive environments.
• Ability to work independently and own delivery of end-to-end solutions.
• Experience integrating with Master Data Management solutions (eg, EDM).
• Ability to clearly articulate technical and functional changes to both technical and non-technical audiences.
• Proven ability to lead technical and/or functional teams in an Agile environment.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent communication, stakeholder management, organisation, and self-motivation.
• Ability to manage and prioritise a demanding workload.

Desirable Skills

• Oracle Cloud certifications (eg, Oracle Analytics Cloud Professional, OCI Foundations, Autonomous Data Warehouse Foundations).
• Background in IT consulting, support, ITIL processes, SDLC, and understanding of server/database environments.
• Hands-on experience with FDI implementation or support, including knowledge of FDI data structures.
• Experience building advanced BIP and OTBI reports.
• Experience with REST/SOAP Web Services.
• Experience supporting FDI in public sector environments.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

About the role

The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Mathematical Programming (including Mixed Integer Linear Programming)
• Metaheuristics
• Stochastic Optimisation
• Simulation

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role

The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Mathematical Programming (including Mixed Integer Linear Programming)
• Metaheuristics
• Stochastic Optimisation
• Simulation

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role
The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Machine Learning/Deep Learning
• Computer Vision
• Reinforcement Learning
• Graph Neural Networks
• Time series forecasting
• Probabilistic forecasting
• Bayesian Modelling
• Operations Research
• Recommender Systems

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role

The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Mathematical Programming (including Mixed Integer Linear Programming)
• Metaheuristics
• Stochastic Optimisation
• Simulation

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

Senior Data Engineer (AWS) London / WFH to £90k

Do you have expertise with modern data platform engineering?

You could be progressing your career in a senior, hands-on role at a well established consumer facing financial services company that help people to manage debt, as they go through a technical transformation and scale-up following recent investment.

As a Senior Data Engineer you will be responsible for designing, building and owning the new cloud (AWS) hosted data platform from the ground up. You’ll collaborate with the Data Platform Lead, work closely with software engineering teams, the BI function and the Enterprise Architect to enable analytics, insight, AI and safe system transitions.

You’ll own and evolve data ingestion pipelines, including incremental migration from a legacy monolith and Oracle-based systems, dual-running and reconciliation during platform transition (12-24 month initiative) and be responsible for the ongoing ingestion from systems of record (e.g. Sage, HR systems, HubSpot) and partners with the ultimate aim of establishing a hub-and-spoke, single source of truth data architecture that supports both transition and long term scale.

Location / WFH:

You’ll be based in fantastic new offices in London that offer a wide range of facilities including wellness rooms and onsite gym for three days a week with flexibility to work from home twice a week.

About you:

• You are a Senior Data Engineer, with experience of designing and building data platforms end-to-end
• You have hands-on experience with cloud-native data infrastructure, ideally on AWS using IaC
• You have experience with Lakehouse and modern Data Warehouse patterns; AWS S3-based Lakehouse patterns, Athena / Redshift, Glue, EMR and related native services and Metabase for self-service analytics
• You have experience of designing and operating data ingestion pipelines at scale (batch and streaming)
• You have experience of supporting system migrations and dual-running, including reconciliation and trust building
• You have a strong understanding of data modelling for analytics
• You have experience of enabling self-service analytics platforms (e.g. Metabase or similar)
• You’ve had exposure to AI-adjacent data work, including: preparing data for RAG or ML use cases and supporting streaming or near-real-time analytics
• You’re collaborative and pragmatic

What’s in it for you:

• Salary to £90k
• Bonus
• 25 days holiday
• Pension
• Employee Assistance Programme
• Onsite gym and well-being champions
• X2 volunteering days per year
• Opportunity to make an impact as part of new team in a role you can shape

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

Google Cloud Consultant (Cloud/Data/AI)

Location: London (Hybrid)

Salary: £50,000 - £70,000 + benefits

Type: Permanent

83zero are partnered with a leading technology consultancy that helps organisations modernise their digital platforms and unlock value through cloud, data, and AI technologies.

Due to continued growth, they are looking for a Google Cloud Consultant to join their expanding cloud practice. This is an excellent opportunity for someone with hands-on GCP experience who is looking to develop their consulting career while working on large-scale cloud and data transformation projects.

The Role

As a Google Cloud Consultant, you will work closely with clients and internal teams to design and deliver solutions on Google Cloud Platform (GCP). You will contribute to cloud platform implementations, data solutions, and emerging AI capabilities while supporting senior consultants and architects on customer engagements.

This role offers the opportunity to gain exposure to a variety of cloud transformation projects while developing both your technical and consulting skill set.

Key Responsibilities

• Support the design and implementation of cloud solutions on Google Cloud Platform (GCP)
• Work with clients to understand technical requirements and contribute to solution design
• Help deliver cloud migration, platform modernisation, and cloud-native solutions
• Assist with the design and development of data platforms and analytics solutions
• Contribute to the implementation of AI or machine learning solutions where appropriate
• Develop and maintain infrastructure using Infrastructure-as-Code tools such as Terraform
• Support the creation of technical documentation including solution designs and implementation plans
• Collaborate with architects, engineers, and client stakeholders to ensure successful project delivery
• Follow best practices around security, governance, and cost optimisation (FinOps)

Skills & Experience

Essential

• Experience working with Google Cloud Platform (GCP) in a professional environment
• Exposure to GCP services such as Compute Engine, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, or Vertex AI
• Experience supporting the implementation of cloud infrastructure or data platforms
• Understanding of Infrastructure-as-Code, ideally using Terraform
• Strong problem-solving skills and the ability to work collaboratively within project teams
• Good communication skills and an interest in developing a client-facing consulting career

Desirable

• Experience with data engineering, analytics platforms, or machine learning technologies
• Exposure to cloud migration or modernisation programmes
• Knowledge of security or compliance practices within cloud environments
• Relevant certifications such as Google Associate Cloud Engineer or Professional Cloud Architect

What They’re Looking For

The ideal candidate is someone who enjoys working with modern cloud technologies and wants to build a long-term career in cloud consulting. You’ll be curious, technically capable, and comfortable working in collaborative project environments.

This is a great opportunity to join a fast-growing consultancy where you will work on cutting-edge cloud, data, and AI projects while continuing to build your technical expertise.

Role Details:Position: SparkScala DeveloperLocation: London, UK (Hybrid)Work Mode: Hybrid (3 Days a week from Office)Duration: Initial contract will be for 12 months, however long-term projectRate: Inside IR35- Up to GBP 450/day
?? Visa Note: Open to British Citizenship, or ILR (Indefinite Leave to Remain), or UK Settlement Visa. We do not provide visa sponsorship.
Key Requirements:Must have skills:-Spark & Scala
Nice to have skills:-Spark Streaming, Hadoop,-Hive,-SQL,-Sqoop,- Impala
Detailed Job Description: At least 8+ years of experience and strong knowledge in Scala programming language. Able to write clean, maintainable and efficient Scala code following best practices. Good knowledge on the fundamental Data Structures and their usage At least 8+ years of experience in designing and developing large scale, distributed data processing pipelines using Apache Spark and related technologies. Having expertise in Spark Core, Spark SQL and Spark Streaming. Experience with Hadoop, HDFS, Hive and other BigData technologies. Familiarity with Data warehousing and ETL concepts and techniques Having expertise in Database concepts and SQL/NoSQL operations. UNIX shell scripting will be an added advantage in scheduling/running application jobs. At least 8 years of experience in Project development life cycle activities and maintenance/support projects. Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives. Understand project requirements and translate them into technical solutions which meets the project quality standards Ability to work in team in diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues. Strong problem solving and Good Analytical skills. Excellent verbal and written communication skills. Experience and desire to work in a Global delivery environment. Stay up to date with new technologies and industry trends in Development.

SC & DV Cleared Senior Data Consultants and Analysts – London – Up to £70,000 per annum

Are you a data-driven professional with a passion for delivering impactful solutions? Do you excel in translating complex data challenges into actionable insights? If so, Morela has an exciting opportunity for you.

Morela is proud to partner with one of the UK’s leading data consultancies, renowned for their innovative approach to data integration and analytics. As they continue to expand, they’re seeking a skilled SC & DV Cleared Senior Data Consultant and Analysts to join their dynamic team. This role is perfect for someone who combines technical expertise with a consultative mindset, aiming to drive value across diverse projects.

You’ll be part of a forward-thinking consultancy that operates at the intersection of advanced technology and real-world impact. Serving both public and private sectors, their services encompass strategic advisory, digital transformation, and end-to-end data engineering. As a SC & DV Senior Cleared Data Consultant or Analyst, you’ll play a crucial role in designing and implementing data solutions that empower clients to make informed decisions.

Core Responsibilities

• Data Integration: Connect and harmonise data from multiple sources, ensuring clean, reliable, and compliant data pipelines.
• Data Modelling: Design and manage data models to create logical data structures that enhance accessibility and usability.
• Application Development: Build full-stack applications using tools such as Python, SQL, and relevant frameworks, delivering intuitive user interfaces and interactive workflows.
• Data Governance: Implement data lineage tracking and access controls to uphold compliance with organisational and regulatory standards.
• Client Collaboration: Engage with clients to understand their needs, provide training sessions, and promote best practices for effective adoption and utilisation of data platforms.
• Continuous Improvement: Contribute to internal capability building by improving frameworks, delivery processes, and team development across the consultancy.

What We’re Looking For

• SC, DV or eDV Cleared: In this position, you will already be security cleared to one of those levels.
• Technical Expertise: Proven experience in data engineering, software development, or systems integration, preferably within AI, analytics, or enterprise platforms.
• Problem-Solving Skills: Strong analytical abilities with a knack for troubleshooting and optimising complex data workflows.
• Communication Skills: Excellent ability to engage with both technical and non-technical stakeholders, providing clear and confident guidance.
• Adaptability: Comfortable working across various sectors and with diverse clients, adjusting approaches as needed.
• Travel Readiness: Open to occasional travel (up to 25%) depending on project requirements.
• Palantir Foundry experience is an added bonus!

As a SC or DV Cleared Senior Data Consultant or Analyst, you’ll lead the charge on some of the most complex, high-impact data programmes in the UK, helping clients unlock the power of their data while mentoring the next generation of engineering talent.

Please do not hesitate to reply and reach out to Morela today to find out more!

About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco

Your new company
This is a financial institution with an office based in the City of London.

Your new role
You will be migrating data from on prem onto Snowflake for a Greenfield project.

What you’ll need to succeed

Strong Python and SQL are crucial to this role
On-prem to Snowflake migration experience
Airflow and DBT experience
GitHub experience as you will be building CI/CD pipelines as part of this role
Any experience within post-trade, OTC, swaps will be extremely beneficial
What you’ll get in return
An exciting opportunity to join an international organisation in financial services. Furthermore, a competitive day rate for this role will be offered in addition to your own dedicated Hays Consultant to guide you through every step of the application process.

What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

Robert Half Technology are assisting a market leading insurance organisation to recruit a Snowflake DevOps Engineer on an 6 month contract basis. London based - hybrid working

Role

Core Responsibilities

The combined role demands expertise in both traditional database administration and modern DevOps principles:

• Security and Compliance: Implementing and managing security measures like role-based access control (RBAC), user authentication (SSO, MFA), data encryption, and data masking to enforce security policies and compliance standards.
• Automation and CI/CD: Automating routine administrative tasks and building/maintaining CI/CD pipelines (using tools like Azure DevOps, or ) for reliable and automated deployment of Snowflake SQL scripts and stored procedures.
• Monitoring and Troubleshooting: Setting up and managing monitoring and alerting systems to track platform health and performance, and serving as the first point of contact for troubleshooting and resolving pipeline issues and operational incidents. Keeping artefactory certificates updated and solving snyk scanner/SonarQube issues. Understand networking issues is also a plus.
• Collaboration: Acting as a liaison between data engineering and networking teams to solve issues in the pipeline
• Platform Administration: Administering the Snowflake platform across different environments (development, test, production), including managing accounts, warehouses, databases, schemas, and other database objects. Managing secrets, RBAC (role hierarchy), Database change management and reporting role needs.
• Performance and Cost Optimisation: Monitoring system performance, optimising query performance, managing warehouse sizes, and proactively controlling credit usage and storage costs to ensure efficiency.

Technologies

The Snowflake DevOps Engineer will have experience with the following:

• Azure DevOps (or any other CI/CD pipeline technology)
• SQL
• Snowflake
• DBT
• DCM tech

Company

• Market leading insurance organisation
• global presence with offices in london
• hybrid working

Salary & Benefits

company, depending on experience

The salary range/rates of pay is dependent upon your experience, qualifications or training.

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Robert Half Technology are assisting a market leading insurance organisation to recruit a DevOps Engineer on an 6 month contract basis. London based - hybrid working

Role

DevOps & CI/CD for Data Platforms

• Design, build, and maintain CI/CD pipelines (primarily in Azure DevOps) for deployment of Snowflake objects (SQL scripts, stored procedures, roles, schemas, DBT transformations).
• Implement Infrastructure as Code (IaC) and automated database change management processes.
• Drive DevOps best practices across the data lifecycle (branching strategies, automated testing, release governance).

Snowflake Platform Engineering

• Administer and support Snowflake across development, test, and production environments.
• Manage warehouses, databases, schemas, roles, and access structures.
• Implement structured role hierarchies and RBAC aligned to enterprise security policies.
• Oversee secrets management and secure configuration practices.

Security & Compliance

• Implement and manage security controls including RBAC, SSO, MFA, encryption, and data masking.
• Ensure compliance with internal governance and regulatory standards.
• Support audit requirements and access reporting.

Monitoring, Reliability & Incident Management

• Implement monitoring and alerting for Snowflake and associated pipelines.
• Act as the primary escalation point for data pipeline failures and platform incidents.
• Troubleshoot performance, networking, and integration issues across Azure and Snowflake.
• Maintain artefact repositories and resolve tooling issues (e.g., certificate renewals, Snyk, SonarQube).

Performance & Cost Optimisation

• Monitor query performance and optimise warehouse configuration.
• Proactively manage Snowflake credit usage and storage costs.
• Provide recommendations to improve platform scalability and efficiency.

Profile

• Strong experience as an Azure DevOps Engineer supporting cloud-based data platforms.
• Hands-on experience building and managing CI/CD pipelines in Azure DevOps (or similar tooling).
• Strong SQL expertise and experience deploying database objects via automated pipelines.
• Proven experience administering Snowflake in multi-environment enterprise setups.
• Experience working closely with Data Engineering teams in modern analytics environments.
• Solid understanding of RBAC, secrets management, and secure design principles.
• Familiarity with monitoring, logging, and troubleshooting in Azure-based environments.
• Experience with DBT for transformation workflows.

Company

• Market leading insurance organisation
• global presence with offices in London
• hybrid working

Salary & Benefits

company, depending on experience

The salary range/rates of pay is dependent upon your experience, qualifications or training.

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Senior Python DeveloperLondon Contract Energy / Trading Environment£400-£425 per day (Inside IR35)We are supporting a leading organisation operating within the energy and commodities space who are looking to engage a Senior Python Developer to support the build-out of advanced data-driven applications and analytical tools.This is a hands-on engineering role working at the intersection of data, analytics and front-office stakeholders. You will be responsible for building clean, modular Python applications, manipulating complex datasets, and delivering interactive dashboards used for commercial insight.The RoleYou will:

• Develop robust, production-grade Python applications
• Manipulate and analyse large datasets using pandas and numpy
• Build interactive dashboards using Plotly Dash
• Design modular, reusable and well-tested code
• Integrate with REST APIs and backend services
• Collaborate with commercial and technical stakeholders to translate requirements into scalable solutions
• This is a highly technical role suited to someone who enjoys building clean systems rather than quick scripts.

Required Experience

• Hands-on Python development experience
• Strong object-oriented programming skills
• Deep experience with pandas and numpy for data manipulation
• Experience with virtual environments, dependency management and packaging
• Strong understanding of software engineering best practices including Git, unit testing (pytest), documentation and code quality tools
• Experience building data-driven applications in a commercial environment.

SC & DV Cleared Data Consultants and Analysts – London – Up to £60,000 per annum

Are you a data-driven professional with a passion for delivering impactful solutions? Do you excel in translating complex data challenges into actionable insights? If so, Morela has an exciting opportunity for you.

Morela is proud to partner with one of the UK’s leading data consultancies, renowned for their innovative approach to data integration and analytics. As they continue to expand, they’re seeking a skilled SC & DV Cleared Data Consultant and Analysts to join their dynamic team. This role is perfect for someone who combines technical expertise with a consultative mindset, aiming to drive value across diverse projects.

You’ll be part of a forward-thinking consultancy that operates at the intersection of advanced technology and real-world impact. Serving both public and private sectors, their services encompass strategic advisory, digital transformation, and end-to-end data engineering. As a SC & DV Cleared Data Consultant or Analyst, you’ll play a crucial role in designing and implementing data solutions that empower clients to make informed decisions.

Core Responsibilities

• Data Integration: Connect and harmonise data from multiple sources, ensuring clean, reliable, and compliant data pipelines.
• Data Modelling: Design and manage data models to create logical data structures that enhance accessibility and usability.
• Application Development: Build full-stack applications using tools such as Python, SQL, and relevant frameworks, delivering intuitive user interfaces and interactive workflows.
• Data Governance: Implement data lineage tracking and access controls to uphold compliance with organisational and regulatory standards.
• Client Collaboration: Engage with clients to understand their needs, provide training sessions, and promote best practices for effective adoption and utilisation of data platforms.
• Continuous Improvement: Contribute to internal capability building by improving frameworks, delivery processes, and team development across the consultancy.

What We’re Looking For

• SC, DV or eDV Cleared: In this position, you will already be security cleared to one of those levels.
• Technical Expertise: Proven experience in data engineering, software development, or systems integration, preferably within AI, analytics, or enterprise platforms.
• Problem-Solving Skills: Strong analytical abilities with a knack for troubleshooting and optimising complex data workflows.
• Communication Skills: Excellent ability to engage with both technical and non-technical stakeholders, providing clear and confident guidance.
• Adaptability: Comfortable working across various sectors and with diverse clients, adjusting approaches as needed.
• Travel Readiness: Open to occasional travel (up to 25%) depending on project requirements.
• Palantir Foundry experience is an added bonus!

As a SC or DV Cleared Data Consultant or Analyst, you’ll lead the charge on some of the most complex, high-impact data programmes in the UK, helping clients unlock the power of their data while mentoring the next generation of engineering talent.

Please do not hesitate to reply and reach out to Morela today to find out more!

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Job Description

We are looking for a Senior hands-on Data Engineer for Cloud Data Lake design and development. The candidate should have Financial Services experience in design, architecture and development of large scale enterprise applications using Cloud based Data engineering platforms. This hands-on role will partner with senior-level development managers, architects and business leadership to develop and execute the technology product roadmap.

Main Duties and Responsibilities:

• End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.

• Build data integrations, hand-offs between on-prem/cloud-based systems.

• Design and develop high volume data ingestion components and solutions to collect data from various sources.

• Manage and use appropriate tools in the cloud data lake development and deployment.

• Responsible for developing/implementing cloud infrastructure to support current and future business needs.

• Participating in technical design, application build, configuration, unit testing, and production deployment.

• Ensuring all cloud solutions exhibit higher level of cost efficiency, performance, security, scalability, and reliability

Required Skills:

• Development experience in designing, developing and deploying complex applications.

• Strong tech skillset/experience in PL/SQL, Java/J2EE, Python, Scala, PERL/scripting .

• Hands on experience with Cloud platforms, preferably using Databricks.

• Experience in building systems using modern, scalable, resilient, cloud native architectures.

• Experience in Data Modeling and database design with strong skills in performance tuning.

• Hands on experience in setting up data pipelines for ELT jobs across multiple data sources.

• Hands on experience in big-data processing, troubleshooting and resolving database performance issues.

• Strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Polices, Security Groups and Encryption keys.

• Experience with optimizing database performance, scalability, ensuring data security and compliance.

• Experience with event based, micro-batch and batched high volume and high velocity transaction and data processing system.

• Proficiency with CICD and DevOps.

Education & Qualifications

Bachelor’s/Master’s Degree in a Computer Science, Engineering or Math or equivalent experience

10+ years’ experience in professional software design and development.

Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently

Proven ability to develop and work with cross functional processes and project timelines

Excellent follow-through, attention to detail and time management skills

About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

]]>

28-35hrs per week- open to discuss flexible working of these hours Remote with some attendance at our London office in Shoreditch The ASA is the UK’s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful. In this role you will join our Data Science team and work on our world-leading Active Ad Monitoring system, which uses AI to proactively monitor online advertising. In 2025 the system captured and processed 60 million ads across social media, search and programmatic display. The ASA uses this intelligence to help regulate ads across high-priority topics like injectable weight-loss medications, green claims companies make to consumers, disclosure of influencer marketing and many more. You will help develop and maintain the tools we use to capture, process, and apply AI models to large datasets of ads within the Active Ad Monitoring system. We’re looking for someone who wants to use their skills and expertise to help shape a safer advertising landscape. Our team mission is to protect UK consumers from adverts that are misleading, cause harm and target those within our society that are the most vulnerable. Working as part of our small agile team you will have the opportunity to own your work end-to-end, seeing directly how the code you write helps protect UK consumers. You will work in a cloud-based environment, primarily in Python, and with a range of industry standard tools such as Snowflake, Docker and Airflow. You will work primarily with unstructured data - namely ads in a variety of formats including images, videos and text from a range of online channels. About you \* You may not have been a Data Engineer before but you will have the ability to work with data in Python to a professional standard, and deliver high-quality code that works reliably in a production setting. \* You‘ll be working with people from both technical and non-technical backgrounds so you’ll need to be adept at being able to translate complex technical language to non-technical people. \* You’ll be impact focused- understanding the problems the ASA faces and prioritising technical solutions that will deliver real impact. \* You will need to be curious and ambitious, creatively solving problems that may arise whilst always having an eye on system/process improvements. \* You’ll enjoy working with others from different technical disciplines each using your unique expertise to further the work, whilst also developing your own technical knowledge and skills. We are committed to building a workforce that reflects the full diversity of the UK population. We believe that varied perspectives and experiences strengthen our organisation and help us deliver our work more effectively. We welcome applications from people of all backgrounds and identities, and we actively encourage candidates from minority or underrepresented groups to apply. Women are currently under‑represented within data engineering roles, and within our Data Science team. In line with our commitment to equality, diversity and inclusion, we particularly encourage applications from women and others who are under‑represented in this area. Our recruitment process ensures applications are absent of names or any identifiable information which supports our aim of finding the best person for the role based on their skills and experience only. How to apply: If you’re interested in applying for this role, please review the job description below and complete our online application process which includes answering some online questions regarding your motivation for applying for this role and your skills and experience. Closing date: 16th March 2026. Please note we will be reviewing applications as they come in and we reserve the right to close the advert early if we receive a significantly high number of applicants. Please feel free to use AI to enhance your application but not to write it for you. We’re interested to know your thoughts, experiences and ideas. You’ll need to stand up what you’ve told us in your application if you attend an interview, so please make sure we feel the person we’ve met on paper is the person we meet in the room

Take the next step in your data career & work with cutting-edge AI driven data migration projects! Small, but mighty data transformation company, operating in the financial services & banking arena are looking for a Data Analyst / Data Engineer to work on a freshly built AI data migration & pipeline application platform. A most excellent opportunity for an ambitious junior to move on in their career & work with agentic AI at the forefront of data manipulation. Job title: Data Engineer / Data Analyst. Location: We have a London office (Liverpool Street) but operate remotely across the UK. However, for this role, we d like someone commutable to London (London or home counties, maybe?) V flexible on office / home-based work though. Salary: £40K - £45K + Bens What you ll be doing: - Working with our newly built, in-house agentic AI data migration, transformation & schema building platform! - SQL / Python scripting: Prompt > test > validate > deliver. - Working closely with our Senior Data Engineer & Data Project delivery manager on client projects - Learning a great deal about complex financial data sets, migration, schemas & AI data platforms! What you ll need to bring: - SQL & Python coding knowledge. Working with complex financial data (migration, ETL, Schemas, etc) would be great, but any sphere is totally fine. - Data related, STEM, Computer science, etc type degree, or equivalent experience. - Inquisitive, questioning nature with oodles of critical thinking! That s it. We d love to hear form you, so please do hit the apply now button, or get in touch to be considered.

Take the next step in your data career & work with cutting-edge AI driven data migration projects! Small, but mighty data transformation company, operating in the financial services & banking arena are looking for a Data Analyst / Data Engineer to work on a freshly built AI data migration & pipeline application platform. A most excellent opportunity for an ambitious "junior" to move on in their career & work with agentic AI at the forefront of data manipulation. Job title: Data Engineer / Data Analyst. Location: We have a London office (Liverpool Street) but operate remotely across the UK. However, for this role, we'd like someone "commutable" to London (London or home counties, maybe?) V flexible on office / home-based work though. Salary: £40K - £45K + Bens What you'll be doing: - Working with our newly built, in-house agentic AI data migration, transformation & schema building platform! - SQL / Python scripting: Prompt > test > validate > deliver. - Working closely with our Senior Data Engineer & Data Project delivery manager on client projects - Learning a great deal about complex financial data sets, migration, schemas & AI data platforms! What you'll need to bring: - SQL & Python coding knowledge. Working with complex financial data (migration, ETL, Schemas, etc) would be great, but any sphere is totally fine. - Data related, STEM, Computer science, etc type degree, or equivalent experience. - Inquisitive, questioning nature with oodles of critical thinking! That's it. We'd love to hear form you, so please do hit the apply now button, or get in touch to be considered.

Data Architect, Data Lake, AWS, Azure, Insurance, Cloud

We are seeking an experienced and forward-thinking Data Architect to lead and optimise our data architecture initiatives, with a strong focus on the insurance sector. You will be responsible for designing, implementing, and governing scalable, high-performance data solutions that support both internal objectives and client-facing initiatives.

• Build modern data infrastructure using technologies such as Databricks, Snowflake, Data Lakes, Data Warehouses, and Lakehouse architectures.
• Promote and implement data mesh principles to enhance data accessibility across the global organisation.
• Utilise deep expertise in SQL and database management to optimise performance and scalability.
• Apply industry knowledge to support insurance-specific data needs, including operational efficiency and regulatory compliance.
• Possess expert-level knowledge in AWS or Azure cloud technologies
• Extensive experience as a Data Architect within large, complex organisations-ideally with deep specialisation in the insurance industry.
• A strong track record of designing and implementing successful enterprise-level data strategies.
• Strong cloud experience in wither AWS or Azure.
• Expertise across SQL, data solutions, and solution architecture for data lakes, data warehouses, and modern data frameworks.
• Exceptional leadership, communication, and stakeholder engagement skills.
• Solid understanding of the insurance domain, with experience in the wealth sector or exposure to technologies such as Aladdin or Guidewire considered advantageous.
• A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

This opening can be based from multiple locations

Data Architect, Data Lake, AWS, Azure, Insurance, Cloud

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Permanent | Hybrid Working | South East England We are partnering with a fast-paced, customer-focused organisation undertaking a significant data transformation programme. With major investment in a modern lakehouse platform and access to rich, high-volume datasets, this is an opportunity to help reshape how data is stored, analysed and leveraged across the business. As a Senior Platform Data Engineer, you will provide technical leadership within the Data Engineering team, working closely with Data Scientists, Machine Learning Engineers and business stakeholders to deliver scalable, high-value data solutions. Key Responsibilities - Design and build robust, scalable data pipelines to serve analytics and data science communities - Provide hands-on expertise across modern data engineering technologies (e.g. Databricks, Spark, Python, SQL, Scala) - Collaborate with data scientists and ML engineers to develop and deploy machine learning models addressing key business challenges - Coach and mentor engineers (including contractors), raising development standards and engineering maturity - Partner with Business Analysts to translate requirements into measurable business outcomes - Oversee code quality and project deliverables across releases - Establish and maintain documentation libraries and data catalogues for developed products - Contribute to platform evolution and continuous improvement of data engineering practices Core Skills & Experience Technical Capability - Significant experience designing and delivering data solutions on cloud-based, distributed big data platforms - Strong hands-on software engineering experience in Python, with knowledge of modern development practices (TDD, CI/CD, automated deployment pipelines) - Experience with automated testing of data transformation pipelines (e.g. Pytest, dbt unit testing frameworks) - Strong SQL skills, including performance tuning and debugging - Experience in data warehouse optimisation (schema evolution, indexing, partitioning) - Infrastructure as Code experience (e.g. Terraform or CloudFormation) - Strong knowledge of distributed data processing frameworks such as Apache Spark (or similar technologies such as Flink, Hadoop or Beam) - Familiarity with lakehouse architecture principles and modern data platforms - Experience implementing data quality, lineage and observability frameworks - Understanding of data governance, security and privacy principles, including handling of sensitive data within regulated environments Engineering & Collaboration - Comfortable working independently while aligning with overarching data strategy - Strong communication skills across technical and non-technical audiences - Structured, analytical problem-solver with a focus on outcomes and innovation - Passionate about modern data technologies and continuous learning Desirable Experience - Experience building real-time or event-driven data pipelines in commercial production environments (e.g. streaming architectures, Kafka, Spark Streaming, Beam) - Understanding of unbounded data processing and streaming design patterns - Familiarity with machine learning workflows and model lifecycle considerations - Experience supporting analytical visualisation tools (e.g. Tableau, Power BI or similar platforms) - Experience working within airline, ecommerce, retail or similarly data-rich industries - Experience within AWS cloud environments - Experience building transformation frameworks using dbt