Public summary
We are looking for a highly technical Data Operations Analyst who combines skills in data analysis and data engineering to design and deploy automation workflows using cloud infrastructure and AI to reduce manual work and solve bottlenecks. The role includes ensuring data accuracy and reliability through robust monitoring, managing data projects from start to finish with cross-functional teams, coordinating data distribution and integrations, and translating complex data into actionable insights for different audiences. The position requires proficiency in SQL, Python, dbt, cloud platforms like AWS, GCP, Snowflake, experience with data orchestration and automation tools, APIs, dashboard building, and strong project management skills. This full-time hybrid role is based in Berlin and offers a competitive salary range between 50,000 and 65,000 EUR per year, 30 vacation days, professional development budget, and other benefits.
Location and work setup
- Location
- Berlin
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Salary
EUR 50000.00 - 65000.00 per year
Responsibilities
Design and deploy automation workflows to reduce manual interventions using cloud infrastructure and AI tools; ensure data quality and reliability through monitoring and alerting systems; manage data projects end-to-end coordinating with Engineering, Product, and Partnerships teams; oversee data taxonomy updates and data syndication to external platforms; translate complex data trends into clear visualizations and strategic insights tailored to technical and commercial stakeholders.
Qualifications
Minimum 2 years experience in data analytics or data engineering; strong proficiency in SQL, Python, dbt, ELT workflows, and cloud data platforms (AWS, GCP, Snowflake); experience with data orchestration and automation tools such as Dagster, Prefect, Airflow, or n8n; knowledge of API integration and tools like dlt or Airbyte; familiarity with agentic coding tools for solution design and implementation; adept at building dashboards using modern BI tools including Metabase, Preset, Streamlit, Tableau, or Power BI; experience in data quality control and monitoring; excellent project management skills to scope work and align cross-functional teams; preferably a degree in Computer Science, Engineering, Mathematics or related field; knowledge of AdTech and programmatic advertising is a plus.