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Explore our vision: Incredible, effortless recruitment
£50k-£80k
Typical base salary
12 wks
Replacement guarantee
Pipeline and platform skill
Ask what they've built - pipelines, warehouses, platforms - and how it held up at scale.
Reliability and quality
Data engineering rewards reliability. Probe how they ensure data is clean and trustworthy.
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.
Fees typically run 18-22% of first-year salary, capped and agreed upfront.
Nothing is due until your hire starts.
Usually 5-9 weeks.
It's an in-demand skill, so a targeted search and a fair offer matter.
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.
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.
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?
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.
Tell us about your role and a specialist IT recruiter will call you. No fee until your hire starts.
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