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£41,574 pa On-site Contract Part-time

Performance Data Engineer/Scientist

Department and salaryDepartment - Sport System Institute ServicesSalary - £41,574.01 – £44,535.11 (pro rata)Working Hours - 4 days (30 hours)Type of Contract - 1 year fixed termLocation - Sport Wales National Centre, CardiffWhat you’ll needWe...

Sports Wales

Sports Wales

Cardiff, United Kingdom

£56,000 pa On-site Permanent

Data Engineer

Data EngineerLong Stratton, Norwich, Norfolk£56,000 per annumFull Time: 37hrs per weekSaffron is looking for a talented Data Engineer to help drive the next stage of our data transformation. This role is all about building and...

Saffron housing

Norwich, Norfolk, United Kingdom

£70,000 – £80,000 pa Hybrid Permanent

Senior Data Consultant

Senior Data ConsultantThis is a fantastic opportunity to join a growing consultancy's Data practice and play a key role on a broad range of challenging client projects.As the Senior Data Consultant, you will have the...

Fynity

Staines, Surrey, TW18 4PP, United Kingdom

£0 pa Hybrid Permanent

Software Engineer - Internal Engineering Platform

Ready to shape the future of data?Matillion is the intelligent data integration platform.We're changing how the world works with data – and we need driven, curious people who think big and move fast.We built the...

Matillion

India

£80,000 pa Hybrid Permanent

Head of Enterprise Data Delivery

Head of Enterprise Data DeliverySalary £80,000 (plus car allowance of £5,900)Location Hybrid - Milton Keynes or BostonPermanent, Full TimeData, transformation and governance - this role has it all! As Head of Enterprise Data Delivery at...

Amplius

Milton Keynes, Buckinghamshire, United Kingdom

£50,000 – £55,000 pa Hybrid Permanent

Data Engineer

We’re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist.This is...

hireful

Bristol, Bristol (county), United Kingdom

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Career Advice

Advance your Data Engineering career with expert advice, practical job search tips, and insightful industry guides.

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering 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.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

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