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

Apply Now

Data Engineer

Stevenage
1 week ago
Create job alert

Hours: 37 hours per week

Do you want to join a business, who value inclusivity, a three-time gold investor in people award winner, an advocate of supporting women in engineering and developing their people to be the best they can be?

As a data engineer specialising in generative AI; this role will see you working in a developing international and transversal structure. You will have the responsibility to evaluate, build and maintain data sets for internal customers whilst ensuring they can be maintained.

The opportunity:

The business is looking for a Data Engineer to join an Information Management GenAI delivery Office, who will be able to evaluate design, deploy, improve and support the companies data sets.

The Data Engineer will ensure data pipelines are designed to be resilient, secure and responsive. You will use your data engineering expertise to collaborate with different internal customers regarding their data, ensuring they are optimised and secured for their needs.

The Data Engineer will provide knowledge in data management and data quality to guarantee compliance to company data governance. A key part of this role is keeping up to date with new technology, where you will provide insight on a technology roadmap and deliver cutting edge solutions to the internal customers.

Benefits of working here:

  • State of the art technology & innovation

  • External learning and development encouraged

  • Light and airy university type campus

  • Friendly environment

    • Restaurant, On site Medical Centre, Parking / Easy Access to train station, Coffee Shops & Onsite Shop, Sports & Social Club and More

      Skills Required:

  • Ideally degree qualified in a STEM or Data Engineering subject

  • With experience in the following subject, technologies and tool:

    • SQL technologies skills (e.g. MS SQL, Oracle)

    • NoSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J)

    • Data exchange and processing skills (e.g. ETL, ESB, API)

    • Development (e.g. Python) skills

    • Big data technologies knowledge (e.g. Hadoop stack)

    • Knowledge in NLP (Natural Language Processing)

    • Knowledge in OCR (Object Character Recognition)

    • Knowledge in Generative AI (Artificial Intelligence) would be advantageous

    • Experience in containerisation technologies (e.g. Docker) would be advantageous

  • Knowledge in the industrial and / or defence sector would be advantageous

    You will need to obtain UK Security Clearance for this role. This will require you to be a full UK Citizen. Some restrictions may apply. Dual nationality is not permitted for this role.

    Cirrus Selection offers the services of an Employment Agency for permanent recruitment and the services of an Employment Business for contract recruitment

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

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

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

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.