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Senior Data Engineer

London
ÂŁ500/day
Posted about 22 hours ago
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Senior Data Engineer | Global Streaming Technology

📍 Osterley, London (2 days onsite) 💰 £500/day Inside IR35 📅 6-month initial contract ⚡ Immediate / ASAP start

I’m currently supporting a major global streaming and media technology organisation on a new Senior Data Engineer contract within their Data Platform function. This is a fantastic opportunity to join one of the engineering teams behind streaming products used by tens of millions of customers globally.

What they’re looking for:

This is not a role for someone who wants to be a small part of the process. They need a contractor who can hit the ground running, own delivery, communicate clearly, and bring strong real-world experience.

Essential skills:

  • Strong SQL
  • Proven ETL pipeline experience
  • Data warehousing experience
  • Dimensional / data modelling
  • DBT
  • Experience with BigQuery (preferred) or Snowflake
  • Exposure to AWS and/or GCP
  • Strong stakeholder communication skills

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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Graduate Consultant — 2026 Scheme

PwC·London, UK
ÂŁ35,000/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

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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.

Nice to have:

  • Python
  • DataOps / CI/CD exposure
  • Iceberg / lakehouse knowledge
  • AI tooling exposure for automation and engineering productivity

What you’ll be doing:

  • Designing and supporting scalable data models and distributed ETL pipelines
  • Working with large-scale streaming and platform datasets
  • Building and optimising transformations in BigQuery, SQL and DBT
  • Collaborating with multiple engineering and business teams
  • Improving DataOps and platform best practices
  • Supporting the onboarding of new data feeds and ensuring alignment with governance and architecture standards
  • Contributing to automation initiatives, including practical use of AI tools within data workflows

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This role is highly scenario and delivery focused. In interviews, the team will want to understand:

  • What you’ve built over the last 2 years
  • What you personally owned
  • How you approached ETL, warehousing and modelling challenges
  • Your experience with BigQuery (ideal) / Snowflake / DBT
  • How you’ve improved engineering practices or automation

Interview process

  • Stage 1: 30-minute conversation with the Head of Data and a Senior Data Engineer
  • Stage 2: Technical / scenario-based discussion

If you’re a Senior Data Engineer with strong SQL, ETL, data warehousing, modelling and DBT experience, and you’re looking for a contract where you can genuinely make an impact in a high-scale streaming and data platform environment, I’d be keen to speak.

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Skills

Sql
Etl
Data Warehousing
Dimensional Modelling
Dbt
BigQuery
Snowflake
Aws
Gcp
Stakeholder Communication
Python
Dataops
Ci/cd
Iceberg
Lakehouse
Ai Tooling

Location

London, England, United Kingdom

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