Data Idols
Senior Data Engineer

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Senior Data Engineer
Salary: £75,000 - £85,000
Location: London | Hybrid
Data Idols are working with one of the UK's most recognised retail brands as they continue to invest heavily in their enterprise data platform. They are looking for a Senior Data Engineer to join a high-performing engineering team, helping build and evolve a modern cloud-based data ecosystem at significant scale.
This role sits at the heart of a major data transformation, offering the opportunity to work on scalable, production-grade data platforms that power business-critical decisions across the organisation.
The Opportunity
As a Senior Data Engineer, you'll take a hands-on role in designing, building and delivering robust, cloud-native data solutions. Working within an experienced engineering squad, you'll take ownership of technical challenges, contribute to engineering standards and help drive best practices across the team.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Build scalable data pipelines and frameworks using Azure, Databricks and PySpark, working across the full engineering lifecycle from design through to production.
- Support other engineers through code reviews, knowledge sharing and pair programming.
- Collaborate closely with Product and Delivery teams to deliver reliable data solutions that create real business value.


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Skills & Experience
- Strong experience building cloud-native data platforms, ideally on Azure.
- Commercial experience with Databricks, PySpark and Python.
- Strong SQL and data engineering expertise.
- Experience designing and delivering scalable ETL and data pipeline solutions.
If you're looking for a Senior Data Engineer role where you can work on complex technical challenges, take ownership of meaningful projects and contribute to a modern data platform at enterprise scale, please submit your CV for initial screening and further details.
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