Data Engineering Manager

TRIA
London
3 weeks ago
Applications closed

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£110,000 + 30% Bonus

London | Hybrid (3 days in the office)



We’re delighted to be partnering exclusively with a global Food & Beverage organisation on their search for a Head of Data & Analytics Engineering. This is a pivotal leadership hire for an award-winning group that’s investing heavily in its data platform and analytics foundations, and is looking for someone to shape the data engineering strategy as the business continues to scale.



You’ll lead the data engineering function end-to-end, defining how data is ingested, modelled, and made available across the organisation, while building and leading a high-performing engineering team in a modern, cloud-based environment.



What you can expect


  • A senior, high-autonomy role with ownership of the Data & Analytics Engineering vision and roadmap, underpinning BI, analytics, and AI across the business.
  • Responsibility for shaping and delivering the data hydration strategy, building scalable data pipelines and platforms that support self-service analytics and advanced use cases.
  • A highly visible role partnering closely with senior stakeholders across technology and the wider business to prioritise initiatives and ensure data products deliver real business value.
  • The opportunity to build and lead a growing Data Engineering team, setting technical standards, embedding best practice, and developing engineering capability across the organisation.
  • Exposure to vendor and partner management, with accountability for delivery quality, timelines, and budget.



Desired background / skillset


  • Proven experience leading Data Engineering or Analytics Engineering functions within a multichannel business.
  • Strong hands-on technical background across modern data platforms (cloud data lakes/warehouses, ETL/ELT, SQL, Python), with the ability to operate strategically at leadership level.
  • Experience designing and delivering scalable, production-grade data pipelines that support BI, analytics, and AI use cases.
  • Tech wise, experience with Azure & Databricks is highly desirable.
  • A confident communicator and stakeholder partner, able to translate technical concepts into clear business outcomes.
  • Experience building, mentoring, and developing high-performing engineering teams.



This is a rare opportunity to step into a genuinely influential Head-of role, with the support, backing, and autonomy to build the data engineering foundations that enable analytics and AI at scale.



Sound like a bit of you? Great! Please apply with an up-to-date CV and we can take it from there.

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