Lead Data Product Engineer - Enterprise Analytics

La Fosse

Greater London

On-site

GBP 90,000 - 130,000

Full time

34 hours ago
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Job summary

La Fosse is hiring a Lead Data Products Engineer to define, design and evolve data products powering analytics, modelling, and client solutions. You will shape a greenfield Data Products function within a leading consultancy and drive data quality, governance, and platform evolution across a complex data ecosystem.

The role focuses on enterprise-scale data product design, domain collaboration, and technical leadership to engineers while aligning with product and platform strategy.

Qualifications

  • Experience leading data engineering or data product teams.
  • Expertise with modern data platforms, cloud tech & architectures.
  • Experience with Databricks, SQL, NoSQL and Lakehouse environments.
  • Exposure to Data Mesh, governance, metadata management and data product thinking.
  • Strong stakeholder engagement and communication skills.

Responsibilities

  • Leading the design and development of enterprise-scale data products.
  • Working with domain experts to understand data requirements and translate them into scalable solutions.
  • Driving best practices across data quality, governance, observability and reliability.
  • Defining data contracts, schemas and reusable data assets.
  • Providing technical leadership to engineers while influencing product and platform strategy.
  • Contributing to the evolution of a modern Data Platform within a data product-led operating model.

Skills

Leadership
Data engineering
Stakeholder engagement
Communication
Data governance

Tools

Databricks
SQL
NoSQL
Lakehouse

Job description

La Fosse is hiring a Lead Data Products Engineer to define, design and evolve data products powering analytics, modelling, and client solutions. You will shape a greenfield Data Products function within a leading consultancy and drive data quality, governance, and platform evolution across a complex data ecosystem.

The role focuses on enterprise-scale data product design, domain collaboration, and technical leadership to engineers while aligning with product and platform strategy.

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