Senior Data Engineer - Revenue Data Engineering | Senior Data Engineer - Data Engineering Revenue (m/f/d)
ProSiebenSat.1 Media SE
Job Summary
This Senior Data Engineer role within the Data Engineering Revenue team is crucial for designing and maintaining robust, scalable data models that drive decision-making across broadcast and digital entertainment platforms. The successful candidate will focus on complex Ad Tech and Monetization Models, utilizing SQL and DBT in Snowflake to ensure data quality and clarity for downstream analytics and reporting. Key responsibilities include designing and optimizing scalable Data Warehouse solutions, building robust, orchestrated data pipelines, and contributing to architectural discussions within the Data Tech department. Candidates must bring several years of experience in data engineering, proven expertise in designing scalable ETL/ELT processes, and strong hands-on skills in Python and SQL, alongside experience with orchestration tools like Prefect or Airflow. This position offers the opportunity to raise the bar on quality and efficiency using modern data engineering practices within a highly remote, flexible working environment.
Required Skills
Education
Not specified
Experience
- Several years of professional experience as a Data Engineer
- Proven experience in designing scalable ETL/ELT processes and large-scale cloud data models
- Expertise in Python and SQL for building pipelines and workflows
- Strong experience with orchestration tools (e.g., Prefect, Airflow)
- Strong experience with cloud-native data warehousing solutions (e.g., Snowflake, Databricks)
Languages
Additional
- Travel costs to the place of work will not be reimbursed.
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