Data Engineer (41010)

Join the team as a Data Engineer and help build cloud-based analytics solutions. You’ll design scalable data pipelines, integrate enterprise data, and work with tools like GCP and BigQuery in a fully remote setup. Collaborate in an agile, international environment focused on innovation, automation, and data quality. This role offers an excellent opportunity to deepen your cloud and analytics expertise within a highly experienced data team.

🚀 Project
- design, development, and maintenance of cloud-based data pipelines and analytics solutions
- integration of data from various enterprise systems into a unified analytics platform
- collaboration with the broader data team to ensure scalability, reliability, and performance
- creation of efficient SQL queries for data extraction, transformation, and loading (ETL)
- participation in agile processes such as sprint planning, code reviews, and testing
- ensuring data quality and consistency across systems
- contributing to platform evolution through automation, optimization, and adoption of best practices in data engineering

🎯 Skills
- strong hands-on experience with SQL (data modeling, query optimization, ETL)
- solid background in cloud environments (GCP preferred; AWS or Azure acceptable)
- experience with BigQuery or similar cloud-based data warehouses
- understanding of data integration patterns and cloud-native analytics architectures
- strong collaboration and communication skills in English

💡 Nice to have
- knowledge of German language
- experience with GCP, DBT, or Terraform 
- familiarity with agile development and CI/CD pipelines
- experience with data governance and data quality frameworks