hireful
Senior Data Engineer

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UK HQ based & fast-growing software business (400+ staff, globally), serving hundreds of enterprise customers worldwide, are looking for a Senior Data Engineer to help shape the future of its data platform.
You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business.
Location: UK, remote with very occasional visits to the office in London.
Salary: Up to £85,000 basic, plus 10% bonus and an extensive benefits package.
What you'll be doing
- Design, build and maintain scalable data pipelines and data products using Databricks, PySpark, Spark SQL and Delta Lake.
- Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems.
- Shape enterprise data architecture, balancing scalability, performance, security and maintainability.
- Partner with stakeholders across Finance, Product, Sales, Marketing and Engineering to turn business challenges into technical solutions.
- Embed data quality, governance and access controls throughout the data lifecycle.
- Mentor a junior engineer and help mature a growing data function.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
What you need to bring
- “Senior” level experience in data engineering, with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake, etc).
- Advanced SQL and Python coding skills.
- A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions.
- Solid grounding in data architecture, modelling and modern data platform design.
- Cloud experience, preferably AWS, and familiarity with CI/CD and source control best practice.
- Desirable: More Data Science leaning background or want to explore ML / AI & data / predictive modelling strategies.


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Why you'll love this job
- A highly visible, hands-on role with real influence over data architecture and platform strategy.
- Join a small, high-impact team at the heart of the company's data strategy, with genuine scope to shape how it evolves. We are near the beginning of our Data Ops’ journey – so an excellent opportunity to shape the future!
- Extensive benefits package including health insurance, income protection, life assurance, subsidised gym membership and 25 days' holiday plus your birthday off.
If you're a Databricks specialist who wants to build something from the ground up rather than maintain someone else's legacy, we'd love to hear from you. Apply now to find out more.
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