Senior Data Engineer

About the role

We're looking for a Senior Data Engineer to own and lead the development, reliability, and continuous evolution of our data platform. This is a high-ownership, high-autonomy role where you'll work across production systems at scale — defining technical direction, coordinating cross-team dependencies, and driving measurable impact across data engineering, analytics infrastructure, and operational tooling.

What you'll do

• Own and lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS.
• Define and enforce data quality standards, observability practices, and operational controls across the platform.
• Lead cross-team technical discussions and align stakeholders on data platform architecture decisions.
• Drive large-scale technical initiatives end-to-end — from design through delivery — coordinating dependencies across teams.
• Shape the team's technical culture through code reviews, mentorship, and documentation.
• Own and evolve our analytics and BI tooling (ClickHouse, Metabase) to serve business intelligence needs.
• Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt.
• Diagnose and resolve complex, cross-service data and performance issues.

What you'll need

• 5+ years of experience in data engineering or a closely related discipline
• Expert SQL and strong Python skills (pandas, polars, or similar)
• Experience owning and operating production data pipelines at scale
• Proven ability to lead cross-team technical projects and align stakeholders
• Strong system design instincts — you reason clearly about trade-offs and communicate decisions well
• Comfortable operating in high ambiguity: you frame problems, define options, and drive convergence
• Track record of mentoring others and raising the technical bar

Nice to have

• Hands-on experience with our stack: dbt, dlt, ClickHouse, PostgreSQL, Metabase, AWS
• Experience with workflow orchestration (e.g. Airflow)
• Familiarity with energy markets, time-series data, or operational data platforms
• Prior experience as a technical lead or staff engineer

What they offer

• Ownership of a production data platform powering trawa's energy trading, invoicing, and analytics
• Cross-functional influence working closely with engineering and business stakeholders
• Deep expertise across the modern data stack: AWS, Python, dbt, dlt, PostgreSQL, ClickHouse, Metabase
• Annual learning budget and dedicated development time
• Family-friendly policies and competitive benefits package