Build and maintain scalable data pipelines using Python, SQL, and Spark-based frameworks (e.g., Databricks), ensuring reliability and performance at scale
Work across the full data lifecycle, including ingestion, transformation, modeling, and enabling downstream analytics and BI use cases
Partner with stakeholders across Finance, Operations, Marketing, and Product to understand data needs and deliver solutions that drive business decisions
Own projects end-to-end — from problem definition and data exploration to implementation, deployment, and iteration
Improve performance and scalability of distributed data systems, including optimization of pipelines and transformations
Help define and evolve data models that support multiple use cases across the business
Collaborate closely with other engineers through code reviews, shared ownership, and system design discussions
Contribute to a transparent engineering culture where problems are surfaced early and solved collaboratively, focusing on improving systems rather than assigning blame.

3–6+ years of experience in Data Engineering or similar roles, with hands-on ownership of data pipelines in production
Strong experience with Python and SQL
Experience working with large datasets in distributed environments (e.g., Spark, Databricks, or similar)
Solid understanding of data modeling and transformation best practices
Experience working in cloud-based environments and familiarity with cloud data concepts
Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders
Proven ability to operate independently without close supervision in a fast-paced environment.

Our culture: We’re friendly, transparent, and love to innovate together.
Flexible work-life balance: We embrace a mix of working remote and from the office.
Professional development opportunities: We support your growth across technical and business domains.
A chance to make a difference: We’re a sustainably driven company rethinking what’s possible in energy.

Data Engineer

Key skills