Data Engineer – Data Platform
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Job Description
Data Engineer building scalable AWS data pipelines and platforms for INTERSPORT’s e-commerce operations. Enabling company-wide analytics, reporting, and data-driven decisions.
Responsibilities:
- Develop, implement and optimize scalable data pipelines to ensure reliable and secure data flows
- Model and transform data according to modern best practices, including versioning, history preservation and clear documentation
- Develop and operate ETL and ELT processes as well as orchestrated data pipelines
- Work with modern cloud technologies, preferably AWS, and support the expansion of the data platform
- Use Infrastructure as Code, ideally Pulumi or Terraform, for reliable and scalable development of the data platform
- Analyze and optimize data processes with respect to performance, scalability, stability and data quality
- Collaborate closely with data scientists, analysts, product teams and developers
- Contribute to the further development of data-engineering standards and the modernization of the BI and data landscape
Requirements:
- Several years of hands-on experience in data engineering, ideally in production cloud data platform environments
- Strong skills in SQL and Python
- Experience with modern data-stack technologies such as Snowflake, dbt, Prefect or Airflow, BigQuery or comparable tools
- Experience with ETL/ELT processes, data modeling and building robust data pipelines
- Experience with AWS or a comparable cloud platform
- Initial experience with Infrastructure as Code, ideally with Pulumi or Terraform
- Analytical thinking and the ability to explain complex technical topics clearly
- Independent, structured and solution-oriented working style
- Openness to agile ways of working, teamwork and continuous improvement
- German language skills at least at B2 level and confident English
- Residence in Germany is mandatory
Benefits:
- Full-time
- Remote work
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