Senior Data Engineer (m/k)

Design and develop automated data processing and reporting solutions
Build and maintain ETL pipelines integrating data from multiple sources into cloud data warehouses
Ensure data quality through validation processes and control mechanisms
Monitor data workflows and troubleshoot issues as they arise
Develop and maintain dashboards delivering actionable business insights
Collaborate with international teams and third-party data providers
Support data-driven decision-making by delivering reliable and well-structured data

5–7+ years of experience in data engineering or a related field
Strong expertise in SQL and data engineering tools
Bachelor’s degree in Computer Science, Data Engineering, or a related field
Hands-on experience with cloud data platforms (e.g., BigQuery, Snowflake, AWS, or similar)
Experience with data pipeline automation tools
Strong analytical and problem-solving skills
Ability to communicate technical concepts to non-technical stakeholders
Experience with data visualization tools (beyond Power BI/Tableau is a plus)

Opportunity to work on international projects with globally distributed teams
Exposure to modern data and AI-driven technologies
Access to learning platforms, certifications, and professional development programs
Private medical care, life insurance, and sports card
Funding for English language learning
Wellbeing initiatives, including mental health support
Hybrid working model (partially office-based)
Collaborative and inclusive international work environment

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