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How to Hire a Data Engineer in the UK (2026)

Building the pipelines and platforms that power your data. Hiring a Data Engineer.
By Mark Wilkinson, Managing Director of Coburg Banks
Charles leads Coburg Banks IT, placing technology professionals from helpdesk to CTO for businesses across the UK.
Mark's Linkedin Profile

A Data Engineer builds the pipelines and platforms that get data where it needs to be, reliably and at scale. Without them, analysts and data scientists have nothing clean to work with, so it's foundational work.

⚡ In short

A UK Data Engineer typically earns £50k-£80k. Expect a placement in 5-9 weeks. Coburg Banks recruits them with no fee until your hire starts.

£50k-£80k

Typical base salary

5-9 weeks

Time to hire

48 hrs

To first shortlist

12 wks

Replacement guarantee

What to look for in a Data Engineer

1

Pipeline and platform skill

Ask what they've built - pipelines, warehouses, platforms - and how it held up at scale.

2

Reliability and quality

Data engineering rewards reliability. Probe how they ensure data is clean and trustworthy.

3

Stack fit

Match core tools and cloud experience to your environment.

How to run the hire

1. Define the platform
Be clear on your data stack, scale and what needs building.

2. Score for reliability
Weight reliable, maintainable pipelines over clever one-offs.

3. Source and approach
This is an in-demand skill, so approach directly.

4. Test with a design task
Ask how they'd build a pipeline for a real scenario.

5. Reference reliability
Confirm their data infrastructure was trusted and stable.

Frequently asked questions

How much does it cost to hire a Data Engineer?

Fees typically run 18-22% of first-year salary, capped and agreed upfront.

Nothing is due until your hire starts.

How long does it take to hire a Data Engineer?

Usually 5-9 weeks.

It's an in-demand skill, so a targeted search and a fair offer matter.

What does a Data Engineer do?

A Data Engineer builds and maintains the pipelines, warehouses and platforms that move and store data reliably at scale.

They make sure the business's data is clean, available and trustworthy for analysts and models to use.

What's the difference between a Data Engineer and a Data Analyst?

A Data Engineer builds the infrastructure that delivers data. A Data Analyst uses that data to answer questions.

They work together, and larger data teams need both.

What should I ask a Data Engineer at interview?

Try: Design a pipeline for this scenario.
How do you ensure data quality?
Tell me about a pipeline that broke and how you fixed it. and How do you handle scale?

Do you recruit across data platforms and clouds?

Yes, across the common data tools and cloud platforms.

We match core stack where it's essential and weight strong fundamentals where a good engineer could adapt.

External citations

Ready to hire your next Data Engineer?

Tell us about your role and a specialist IT recruiter will call you. No fee until your hire starts.