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Data Engineering Manager

London
Posted about 13 hours ago
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Data Engineering Manager | Contract | UK

I'm working with a well-established organisation who are looking for an experienced Data Engineering Manager to come in and lead an established Data & Analytics Engineering team.

This isn't just about managing people. They need someone who can challenge the way things are done, bring fresh ideas to the table and help the team develop technically and professionally.

The environment is predominantly Snowflake, with some Databricks, alongside a couple of other data platforms.

What you'll be doing:

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
£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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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

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  • Lead, mentor and develop a team of Data & Analytics Engineers.
  • Take ownership of engineering standards, best practices and delivery across multiple data platforms.
  • Challenge existing processes and identify opportunities to improve how the team operates.
  • Work closely with senior stakeholders to align technical delivery with business objectives.
  • Provide technical direction across Snowflake, Databricks and the wider data ecosystem.
  • Help build a high-performing team, encouraging collaboration, accountability and continuous improvement.

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What we're looking for:

  • Previous experience leading Data Engineering / Analytics Engineering teams.
  • Strong technical background in Snowflake, ideally with exposure to Databricks.
  • Someone who has remained technically close to modern data engineering.
  • Proven ability to mentor engineers, challenge decisions and drive improvements.
  • Strong stakeholder management and communication skills.
  • A proactive leader who isn't afraid to question the status quo.
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Location

London, England, United Kingdom

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