Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Capgemini
Telford
5 days ago
Create job alert

We are seeking experienced Data Engineers to join our growing team within a large, long-standing public-sector partnership. In this pivotal role, you will contribute to data acquisition, preparation and management projects, helping to modernise services and deliver secure, reliable data products at scale.


This is an exciting opportunity to shape engineering design, grow capability across our teams, and deliver real value for our clients.


Your role

  • Design and implement robust, secure and performant data integration solutions (batch and/or near-real-time).
  • Build, operate and improve data pipelines (ingestion, transformation, curation) with monitoring, alerting and SLAs.
  • Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security).
  • Support incident resolution and ensure service continuity.
  • Share knowledge, mentor colleagues, and contribute to Capgemini’s engineering communities of practice.
  • Actively participate in Agile ceremonies and work cross-functionally with engineers, analysts and business teams.

Your skills and experience

  • Strong SQL and hands‑on experience with data modelling.
  • Hands‑on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
  • Experience with databases/data platforms (ideally Oracle or Cloudera).
  • Knowledge of cloud platforms (ideally AWS).
  • Good experience with programming/scripting languages (e.g. Python, Bash).
  • Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control.
  • Excellent client‑facing and consultancy skills.

Your security clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.


To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.


Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.


Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.


What does ‘Get The Future You Want ‘ mean for you?

You’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do. You’ll be joining a professional community of experts, who have got your back and will support you, every step of the way.


You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.


To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.


Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free‑thinkers, entrepreneurs and industry experts.


We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future.


By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business.


So, it might not always be easy, but making the world a better place rarely is.


About Capgemini

Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.


It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.


It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


The Group reported 2024 global revenues of €22.1 billion.


When you join Capgemini, you don’t just start a new job. You become part of something bigger.


Learn about how the recruitment process works – how to apply, where to follow your application, and next steps.


To help you bring out the best of yourself during the interview process, we’ve got some great interview tips to share before the big day.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.