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

Apply Now

Data Engineer

Richmond Hill
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DataOps

Data Engineer - DataOps

Machine Learning Engineer

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Senior Data Engineer - Data Science & Engineering | Global Lifestyle Brand

AI Engineer (data science & software)

Data Engineer

Pay up to £58,347, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance.

As a Data Engineer you'll be working within a high-performing team of engineers, developing data-centric solutions that positively impact millions of DWP users, helping them to find and use essential DWP services.

DWP. Digital with Purpose.

We are looking for a Data Engineer to join our community of tech experts in DWP Digital.

We're using fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives.

DWP is the UK's largest government department. We help people into work, and make payments worth over £195bn a year to support and empower millions of people.

The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us.

What skills, knowledge and experience will you need?

Experience of developing, testing, maintaining, deploying and supporting efficient, scalable, automated ETL pipelines in an AWS cloud environment using AWS S3 Cloud Object Storage
Strong coding skills using Hive SQL, Spark SQL, Python, PySpark and Bash
Experience of working with a wide variety of structured and unstructured data.

You and your role

As a Data Engineer at DWP, you'll be executing code across a full tech stack, including Azure, Databricks, PySpark and Pandas, helping the department to move towards a cloud computing environment, working with huge data sets as part of our DataWorks platform - a system that provides Universal Credit data to our Data Science team, helping improve our data security, integrity and cloud based technology.

Details. Wages. Perks.

Location: You'll join us in one of our brilliant digital hubs in Birmingham, Blackpool, Leeds, Manchester, Newcastle-upon-Tyne and Sheffield, whichever is most convenient for you.

Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub.

Pay: We offer competitive pay of up to £58,347.

Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,862 per year.

Holidays: A generous leave package starting at 26 days and rising to 27 days after one year.

You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays.

We have a broad benefits package built around your work-life balance which includes:

An award-winning environment and culture: Employer of the Year 2023 (Women In IT Awards), Founders Award for Outstanding Digital Leadership 2023 (Digital 100)
Flexible working including flexible hours and flex-friendly policies
Time off volunteering and charitable giving
Bring your authentic self to work with 'I Can Be Me in DWP'
Discounts and savings on shopping, fun days out and more
Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference
Sports and social activities
Professional development, coaching, mentoring and career progression opportunities.

Process:

We know your time is valuable so our application and selection process is just two stages:

Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.
Interview: a single stage interview online.

CLICK APPLY for more information and to start your application

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.