Areti Group | B Corp™
Lead Data Engineer 🌳 REMOTE - Public Sector (SC Cleared)

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Lead Data Engineer 🌳 REMOTE - Public Sector (SC Cleared)
Want to be the technical anchor on a data engineering team that's shaping how a major public sector programme handles data at scale? This is that role.
We're looking for an experienced Lead Data Engineer to drive delivery on a high-profile, remote-first Lakehouse programme — owning quality, mentoring the team, and setting the standard for how pipelines get built.
💰 Up to £440/day (inside IR35)
📍 Remote — work from anywhere in the UK
🔐 Active SC Clearance required
🗓️ Immediate start
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.
Start with a chat, not a search bar
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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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'll be doing:
- Leading data engineering delivery across source connectivity & transformation — accountable for sprint output and quality
- Designing complex pipeline patterns for large and XL-complexity feeds, including CDC and parallel load
- Governing pattern reusability and correctness before feed supplier handover — your standards, applied across the team
- Mentoring Data Engineers, running design reviews, and enforcing data engineering standards across the board


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Tech stack:
- AWS Glue
- S3
- MWAA
- Apache Iceberg
- Python
- PySpark
- Terraform
Must-have:
- Active SC Clearance
- Proven leadership in data pipeline design
This isn't a "build what you're told" role — you'll be setting the technical direction and mentoring engineers on one of the most complex data feeds programmes in the public sector right now.
📩 Ready to lead? Drop me a message or send your CV over — let's talk.
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