Analytics Engineer building scalable data pipelines and models using Python, SQL, and BigQuery to deliver actionable insights for business stakeholders.
About the role
Key Responsibilities
Design, develop, and maintain robust ETL pipelines in Python and Airflow to ingest, transform, and load data into BigQuery.
Build and optimize data models and analytical dashboards that support business decision‑making.
Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical solutions.
Ensure data quality, governance, and performance through monitoring, profiling, and automated testing.
Document data architecture, pipeline logic, and best practices for future maintainability.
Requirements
Proven experience as an analytics or data engineer with strong Python and SQL skills.
Hands‑on expertise with BigQuery, Airflow, and modern data warehousing concepts.
Solid understanding of data modeling, ETL processes, and performance tuning.
Excellent problem‑solving abilities and a collaborative mindset.
Fluent in German and English, with strong communication skills.