Data Engineer (AI)

Location: London, United Kingdom; hybrid workplace

Company

Energy company transforming its operations toward an integrated, AI-driven, and data-centric model across renewable energy generation, investment, and asset management.

What you will do

• Design, build, maintain, and document scalable data pipelines in Databricks.
• Define and evolve Databricks schemas and models, including testing and warehouse maintenance.
• Automate manual data processes with Python, replacing spreadsheets and ad-hoc workflows with repeatable jobs.
• Build performance dashboards and reports in Streamlit and HTMX with FastAPI for Finance, Asset Management, and Fund Management.
• Integrate internal and third-party systems through REST APIs and improve data accessibility.
• Implement data validation, monitoring, governance, and stakeholder-focused data solutions in collaboration with non-technical teams.

Requirements

• Strong SQL and Python skills used daily for pipeline development, data modelling, and automation.
• Experience with a cloud data platform, preferably Databricks, and version control using Git or GitHub.
• Understanding of data modelling, data warehousing patterns, and ETL/ELT design.
• Comfort working with Postgres or similar relational databases.
• Clear communication skills, including explaining data models to fund managers and discussing trade-offs with engineers.
• A bias toward shipping, iterating on working solutions, and avoiding unnecessarily prolonged design phases.

Nice to have

• Full-stack development experience, particularly with Streamlit, FastAPI, or HTMX.
• Experience building and managing REST APIs, including authentication, rate limiting, and documentation.
• Familiarity with renewable energy, infrastructure investment, or financial services data.
• Experience evaluating and adopting AI/ML tooling to augment engineering workflows.

Culture & Benefits

• Autonomous environment focused on learning, fast decision-making, and rapid delivery.
• Perks intended to reflect employee preferences.
• Salary is flexible and discussed with a recruiter based on experience.
• Interview accommodations can be arranged for individual needs.
• Commitment to equal opportunities, inclusion, fairness, and a supportive work environment.