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iO Associates

Senior Data Engineer

City of Westminster
£400 – £550/day
Posted about 14 hours ago
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The Role

As a Senior Data Engineer, you will:

  • Design scalable data products within a cross-functional product team
  • Act as a senior technical partner to product managers and lead data engineers
  • Own complex, business-critical data products end-to-end
  • Build and maintain high-quality data pipelines using Databricks & Spark
  • Convert requirements into clear technical designs and conceptual data models
  • Ingest large, complex datasets and automate manual processes
  • Improve data quality, observability, reliability, and delivery performance
  • Champion a build-once-consume-many culture across the platform
  • Collaborate with stakeholders to solve data-related engineering challenges
  • Contribute to engineering standards, best practices, and platform evolution
  • Mentor other engineers and raise the overall engineering bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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.

Tech Environment

My client is actively modernising their platform, moving away from legacy IaaS solutions and building a Databricks-first Lakehouse. Spark, Delta Lake, CI/CD, and modern DevOps practices are central to how they design and scale data products.

What You'll Need

  • Strong hands-on experience with Azure Databricks & Spark in production
  • 5+ years in data engineering or software engineering with a strong data focus
  • Experience building production-grade pipelines on Azure
  • Strong SQL and experience with analytical data models / data warehousing
  • Proficiency in Python (Scala a bonus)
  • Solid engineering discipline: CI/CD, testing, Git, DevOps for data
  • Experience delivering enterprise-grade data products used by multiple teams
  • Ability to communicate clearly with both technical and non-technical audiences
  • Experience with Azure Synapse (dedicated/serverless SQL pools)
  • Agile mindset; experience working in Scrum teams

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Nice to Have

  • Hands-on experience with Docker, Kubernetes, or container orchestration

Contract Details

  • Start: ASAP
  • Location: London (with remote flexibility)
  • Length: 6 months (likely extension)
  • Rate: Competitive, depending on experience
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Location

City of Westminster, England, United Kingdom

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