Staff Data Engineer

Job requirements

• Strong experience: Extensive background in professional data engineering with a proven track record of designing end-to-end data systems.

• Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt).

• Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect, or Dagster.

• Strong communicator: Skilled at writing clear technical specifications and explaining complex trade-offs to both technical and non-technical colleagues.

• Growth mindset: Open to feedback, curious to learn, and driven to make an impact.

Job responsibilities

• Architect and build data systems: Design and implement scalable data pipelines, transformation layers, and data products with clear documentation.

• Drive technical quality: Define best practices for testing, data modeling, CI/CD pipelines, and data quality frameworks.

• Lead cross-functional initiatives: Collaborate with analytics, data science, and product engineering to translate business goals into sound technical designs.

• Ensure reliability & performance: Proactively monitor pipeline health and optimize data infrastructure so our teams can depend on trustworthy data.

• Empower the team: Support team growth through code reviews, technical pairing, and sharing knowledge

Job benefits

• A mission-driven environment focused on making a real-world impact.

• High-growth opportunities with a clear path to broader strategic leadership.

• A flexible remote/hybrid work culture across the UK, Germany, Switzerland and Poland.

• Annual learning & development budget.

• Home working allowance and flexible working hours.

• Competitive compensation, benefits, and inclusive policies (enhanced leave, etc.)