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Harnham

Data Engineering Lead

London
£80k – £90k/yr
Posted 1 day ago
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Head of Data Engineering

£90,000
London

This is a fantastic opportunity to join a globally recognised transportation and logistics organisation as it undergoes a major cloud and data transformation. You'll take ownership of the data engineering function, shape the long-term strategy, and build a high-performing team that will have a direct impact on business-wide decision making.

The Company

Our client is a leading international logistics and transportation business operating at global scale. Backed by a major multinational group, they are investing heavily in modernising their technology and data capabilities, transitioning from legacy systems to a cloud-native data platform. This role offers the chance to lead that transformation while building a sustainable in-house engineering capability.

The Role

  • Lead, mentor and develop a team of 8-10 Data Engineers across onshore and offshore locations
  • Define and deliver the data engineering strategy, roadmap and best practices
  • Drive the migration from legacy on-premise technology to a modern AWS and Snowflake data platform
  • Build internal capability and reduce reliance on external contractors
  • Partner closely with Architecture, Analytics and senior business stakeholders
  • Oversee platform reliability, support processes and engineering standards
  • Provide technical leadership across data platform and engineering initiatives

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

Only hits

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Your Skills and Experience

  • Strong background in Data Engineering with previous people leadership experience
  • Experience managing engineering teams of roughly 8-10 individuals
  • Strong knowledge of Python, SQL, ETL/ELT pipelines and data warehousing concepts
  • Experience working with cloud platforms, ideally AWS and Snowflake
  • Good understanding of data modelling and modern data architecture principles
  • Experience delivering cloud transformation or platform modernisation programmes
  • Strong stakeholder management and communication skills
  • Comfortable leading teams through organisational change and growth

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Salary and Benefits

  • Bonus of up to 40%
  • 8% employer pension contribution
  • 26 days holiday plus bank holidays
  • Option to purchase up to 5 additional holiday days
  • Life assurance and personal accident cover
  • Free on-site gym access
  • Opportunity to work overseas for up to one month per year
  • Hybrid working model (3 days per week in office)

How to Apply

Please register your interest by sending your CV to Harry Lack through the 'Apply' link.

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Location

London, England, United Kingdom

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