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NextGenEnergyJobs

Greater London / Global

Data Engineer

Job Description

Help us make a big green dent in the universe.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines in Databricks, ensuring data is reliable, timely, and well-documented.
  • Own and evolve our Databricks models - define schemas, enforce testing, and keep the warehouse clean.
  • Automate manual data processes using Python, replacing spreadsheets and ad-hoc workflows with robust, repeatable jobs.
  • Build performance dashboards and reports in Streamlit and HTMX (FastAPI) that Finance, Asset Management, and Fund Management actually use.
  • Integrate internal and third-party systems via REST APIs, improving data accessibility across the business.
  • Champion data quality - implement validation, monitoring, and governance practices that give stakeholders confidence in the numbers.
  • Collaborate directly with non-technical teams to understand their problems and translate them into data solutions.

Requirements

  • Strong SQL and Python skills, used daily for pipeline development, data modelling, and automation.
  • Experience with modern data stack tooling: a cloud data platform (Databricks preferred), and version control (Git/GitHub).
  • A solid understanding of data modelling, warehousing patterns, and ETL/ELT design.
  • To be comfortable working with Postgres or similar relational databases.
  • Clear communication - you can explain a data model to a fund manager and discuss trade-offs with an engineer.
  • A bias toward shipping: you’d rather get something working and iterate than spend weeks in design.
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