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Data Platform Engineer

Job in City Of London, Central London, Greater London, England, UK
Listing for: La Fosse Associates
Full Time position
Listed on 2025-12-29
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 120000 GBP Yearly GBP 120000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

Data Platform Engineer

London – 4 days per week onsite
£120,000 base + 30% bonus + benefits

A growing investment organisation is building a brand‑new Data & AI capability and is hiring a Data Platform Engineer to help lay the foundations of its modern data ecosystem. This is a true greenfield environment with no fixed tooling, offering a rare opportunity to shape architecture, standards and best practices from day one.

The Role

You will design, develop and scale the organisation’s Microsoft‑first data platform, enabling analysts and AI teams with high‑quality, reliable and governed data. This is a hands‑on engineering position requiring autonomy, flexibility and a practical mindset.

Key Responsibilities
  • Build and manage the data platform using Microsoft Fabric
    , Azure and One Lake
    .
  • Develop ingestion patterns, foundational datasets and platform services.
  • Partner with Data Analysts to support data access and troubleshoot platform issues.
  • Implement monitoring, governance and cloud cost optimisation.
  • Contribute to early architectural decisions and tooling selection.
  • Operate effectively in a low‑maturity, evolving environment.
What We’re Looking For
  • Deep, hands‑on Microsoft Fabric experience (essential)
  • Strong Azure engineering background
  • Broader Microsoft data stack awareness (Purview, One Lake, etc.)
  • Experience in greenfield or build‑phase environments
  • Ability to “figure things out” without heavy guidance
  • Financial services exposure beneficial but not required
Benefits
  • £120k salary + 30% bonus
  • Health insurance
  • Office‑first hybrid: 4 days per week onsite in London
  • Significant early influence on data strategy and platform build‑out
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