Data Engineer

Integral Recruitment Ltd

Epsom, KT19 8DX, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom

£60,000 – £72,000 pa Hybrid

Data Engineer

Saffron housing Norwich, United Kingdom

£56,000 pa On-site

Data Engineer

Harnham - Data & Analytics Recruitment London, United Kingdom

£70,000 – £90,000 pa Hybrid

Data Engineer

Harnham - Data & Analytics Recruitment Manchester, United Kingdom

£70,000 – £90,000 pa Hybrid

Data Engineer

Sanderson Bristol, United Kingdom

£45,000 – £48,000 pa Permanent

Data Engineer

Vermelo RPO Salford, United Kingdom

£40,000 – £60,000 pa Remote

Posted: 1 Apr 2026 (Last month)

Save job

Create job alert

Applications closed

Data Engineer

£50,000 – £60,000 | Hybrid (1 day per week onsite)

Epsom, Surrey, KT17

Benefits: Bonus, generous pension, private health insurance, professional study financial support and lots more

Are you a data problem-solver who enjoys getting under the hood of complex datasets and turning messy data into meaningful insight?

We’re partnering with a prestigious financial services organisation looking for a Data Engineer to join their growing data team, reporting directly to the Head of Development & Data. This is a brilliant opportunity to play a key role in shaping their data landscape as they move towards building a modern data warehouse.

The Data Engineer Opportunity

This role is all about making data work better.

You’ll take ownership of improving and standardising existing data, building robust pipelines, and delivering high-quality reporting solutions that genuinely impact the business. It’s a hands-on role with plenty of variety — from writing SQL to working closely with stakeholders to bring data to life.

What You’ll Be Doing

Designing and developing bespoke MI reporting solutions

Writing and optimising SQL scripts and stored procedures

Building and validating data pipelines to support reporting and deployments

Working with tools like Power BI and Microsoft Fabric

Cleaning, transforming, and standardising existing datasets

Troubleshooting and improving legacy scripts and processes

Collaborating with stakeholders to understand reporting needs and translate them into technical solutions

Supporting the journey towards a new data warehouse environment

What We’re Looking For

Experience with SQL Server, Power BI, Power Automate and Microsoft Fabric in complex data environments

Proven ability to build data pipelines and transformations

Experience working with structured and unstructured data (e.g. Excel, blob storage, SQL)

Solid understanding of data modelling, schema design, and permissions

Experience across the full SDLC, including deployments and pipelines

Confident communicator — able to work closely with both technical and non-technical stakeholders

A proactive, organised mindset with strong problem-solving skills

In addition, experience in Financial Services, Agile and experience of mentoring or supporting junior team members is a bonus.

Why Apply?

Be part of a team modernising their data platform

Work closely with senior leadership and influence data strategy

Hybrid working from day one (generally 1 day in the office per week)

A role that blends technical delivery with real business impact

Extremely well-established, stable organisation offering a generous benefits package

If you enjoy untangling complex data, improving systems, and building smarter reporting, we’d love to hear from you

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

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.