Senior Data Engineer

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. 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.

Responsibilities

Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS; Define and evolve data quality standards, observability practices, and operational controls across the platform; Lead cross-team technical discussions and help align stakeholders on data platform architecture decisions; Deliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the business; Shape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentation; Evolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-making; Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt; Identify and address technical debt, improving platform reliability, scalability, and developer experience; Communicate the value and impact of platform improvements to engineering and business stakeholders; Diagnose and resolve complex data and performance challenges across multiple systems and services

Requirements

5+ years of experience in data engineering or a related field; Strong SQL and Python skills; Experience building and operating production data systems; Experience collaborating across teams to deliver technical projects

Nice to have

Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWS; Experience with workflow orchestration tools such as Airflow; Familiarity with energy markets, time-series data, or operational data platforms; Experience in a technical leadership role

Benefits

Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics; Opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibility; Chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence team; Deep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and Metabase; Support in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement; Real impact; Early ownership; Mentorship that matters; Learning culture; Inclusive by design; Solid benefits