IT & Software

Lead Data Products Engineer

Baringa

London · Greater London · United Kingdom

Overview

As Lead Data Products Engineer in Baringa’s Energy Products practice, you will lead the Data Products Team to design and evolve data products powering modelling and client-facing outputs. You’ll map data sources, ensure quality and governance, and collaborate with Platform and domain experts to meet real business needs. You will own domain data products, drive data capture and transformation, and shape robust, scalable data platforms. This role offers the opportunity to help accelerate energy transition through data-driven insights and cross-functional collaboration.

Pay / Benefits
  • 5 weeks of annual leave
  • Hybrid working policy
  • CSR days (3 per year)
  • Wellbeing fund
  • Profit share scheme
Responsibilities
  • Lead the design and evolution of data products on the internal Data Platform
  • Engage with subject matter experts to define data products that support modelling and analytics
  • Own domain data products, ensuring quality, adoption, reliability and evolution
  • Formalise data contracts, schemas, versioning and governance workflows
  • Provide technical leadership alongside the Product Owner to balance delivery and strategy
  • Promote engineering best practices, with focus on quality, observability and reliability
  • Participate in all agile stages from refinement to delivery to continuously improve data products and processes
Key requirements
  • Senior/lead engineer experience in data product design and curation
  • Strong Python skills for data and application engineering
  • Expert knowledge of data management technologies (SQL, NoSQL, Databricks)
  • Familiarity with cloud platforms (AWS, Azure) and Data Lakehouse architectures
  • Experience with data governance, metadata, and data-mabric or data-product architectures
  • Knowledge of CI/CD, Git, and modern software engineering tools
  • Experience with agile methodologies (Scrum/Kanban)
  • Ability to communicate complex concepts to technical and non-technical audiences
  • strong problem-solving能力
  • clear communicator
  • collaborative mindset
  • Python for Data and Application engineering
  • SQL and NoSQL databases
  • Databricks

Reference: WJ-747_30185012

Apply now

Continue on the employer's official application - the same link they use for every candidate.

More jobs

This role is listed on GigBlows for discovery and search. Hiring decisions and applications are handled by the employer or their chosen application system.