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Data Engineer
Role Title: Data Engineer Duration: Contract to run until 31/03/2027 Location: Hybrid (Bristol visits twice a month – predominantly remote) Rate: TBC (Umbrella inside IR35) Clearance Required: Active SC Clearance (Desired), SC Eligible required
Role Purpose / Summary
Embedded within the Data & Digital Analytics Platform (DDAP), this role focuses on developing, maintaining, and supporting data pipelines between BMfS applications and DDAP. The postholder ensures that BMfS data is reliably ingested, transformed, and made available for reporting, analytics, and operational use.
Key Responsibilities
- Design, build, and support data pipelines and integrations between BMfS systems (e.g., case management, payments, workflow) and DDAP.
- Implement and maintain ETL/ELT processes, ensuring data is accurate, timely, and fit for purpose.
- Monitor, troubleshoot, and resolve data pipeline failures and performance issues in live service.
- Apply data quality checks, validation, and basic governance controls (e.g., schema, lineage, access).
- Collaborate with analysts and service teams to ensure data is correctly structured for MI, reporting, and analytics.
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.
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.
Skills & Experience (DDaT – Data Engineering Practitioner/Expert)
- Strong experience building and supporting data pipelines in cloud platforms (e.g., DDAP, AWS, Azure).
- Proficiency in SQL and Python (or similar) for data processing.
- Practical experience with data modelling and transformation for analytics use.
- Understanding of data quality, security, and live service support considerations.
- Ability to work within existing platform standards and integrate with operational systems and legacy data sources.


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All profiles will be reviewed against the required skills and experience. Due to the high number of applications, we can only respond to successful applicants in the first instance. Thank you for your interest and time taken to apply!
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