onsite
Analytics Engineer - Bauer Media Group
Data Engineer
Analytics Engineer who builds scalable data pipelines, models, and visualizations using Python, SQL, dbt, Snowflake and Looker to turn complex media data into actionable insights for European markets.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines in Python and Airflow to ingest and transform data from multiple media sources.
- Build and optimize data models using dbt and Snowflake, ensuring high performance and reliability for analytics workloads.
- Create self‑service dashboards and reports in Looker that empower product, commercial, and editorial teams with actionable insights.
- Collaborate closely with data engineers, data scientists, product managers, and business stakeholders to translate business requirements into technical solutions.
- Implement data quality checks, monitoring, and documentation to support data governance and reproducibility.
Requirements
- 3+ years of experience in analytics engineering or a similar role, with strong proficiency in Python and SQL.
- Hands‑on experience with modern data stack tools such as dbt, Snowflake, Airflow, and Looker.
- Solid understanding of data modeling, warehousing concepts, and best practices for building scalable pipelines.
- Ability to work cross‑functionally, communicate complex technical ideas clearly, and deliver solutions that meet business needs.
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field.
Skills
pythonsqldbtsnowflakelookerairflow