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Oliver Bernard

Lead Data Engineer – London (Hybrid) | Python, dbt, Airflow, AWS

London
£100k – £120k/yr
Posted about 23 hours ago
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Lead Data Engineer – London (Hybrid) | Python, dbt, Airflow, AWS

A high-growth PropTech scale-up is entering a pivotal phase, rebuilding how data informs decisions across the entire organisation. They’re hiring a Lead Data Engineer to take ownership of the platform and drive the next chapter of their data strategy.

This is a hands-on leadership role where you’ll design, build, and evolve a modern data platform from scratch - setting engineering standards, shaping architecture, and influencing how data powers the business.

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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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.

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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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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 lead

  • Architect and deliver a next-generation data platform
  • Partner with senior stakeholders to embed data into core commercial and operational decisions
  • Build scalable pipelines and cloud infrastructure using a modern engineering stack
  • Establish engineering best practices and mentor future hires

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Technical environment

  • SQL & Python for processing and transformation
  • dbt, Airflow, Looker
  • AWS (GCP exposure beneficial)
  • Snowflake or equivalent warehousing

Why this role stands out

  • High autonomy and platform ownership
  • Early-stage influence across the business
  • Clear progression into team leadership

Salary: £100k-£120k

  • Hybrid set-up: 3 days on-site per week
  • No sponsorship available
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Skills

Python
SQL
dbt
Airflow
AWS
Looker
Snowflake

Location

London, England, United Kingdom

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