Proactive.IT Appointments Ltd.
Data Analytical Engineer

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Data Analytical Engineer
Data Analytical Engineer | Up to £80,000 | Reigate (Hybrid)
Our client is recruiting a Data Analytical Engineer to join their growing Data & AI function. This is an exciting opportunity to work with modern cloud technologies, helping to build scalable data products that power analytics, machine learning and AI across the business.
Working as part of a collaborative team of Data Engineers, Data Scientists, Analysts, Developers and Architects, you'll play a key role in designing and delivering high-quality data solutions that drive smarter business decisions.
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.
Key Responsibilities
- Design, build and maintain scalable data products
- Develop and optimise ETL and data pipelines
- Build high-quality, analytics-ready datasets
- Data modelling and performance optimisation
- Integrate data from multiple sources
- Contribute to AI and GenAI initiatives
- Work closely with agile product teams to deliver data-driven solutions
Skills Required
- Experience with Databricks or Snowflake
- Proficiency in Python, PySpark, and SQL
- Familiarity with CI/CD (Git, Jenkins or similar)
- Strong data modelling experience
- Experience building modern cloud-based data platforms


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📍 Location: Reigate (1 day onsite every 2 weeks) 💰 Salary: Up to £80,000
If you're an experienced Data Engineer or Analytics Engineer looking to work with cutting-edge data technologies in a collaborative environment, we’d love to hear from you.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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