Data Engineer – Data Platform
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Job Description
Data Engineer developing data infrastructure enabling data-driven decisions at Intersport. Collaborating with teams to optimize data workflows in a scalable cloud environment.
Responsibilities:
- Develop, implement and optimize scalable data pipelines for reliable and secure data flows
- Model and transform data according to modern best practices
- 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 our Cloud Data Platform
- Analyze and optimize data processes with respect to performance, scalability, stability and data quality
- Work closely with data scientists, analysts, product teams and developers
Requirements:
- Several years of hands-on experience in data engineering
- Excellent knowledge of SQL and Python
- Experience with modern data stack technologies such as Snowflake, dbt, Prefect, 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
- Basic understanding of 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 strong English skills
- Nice to have: Experience in an e-commerce environment or with marketplace and platform business models
Benefits:
- Flexible working arrangements
- Professional development
- Remote work options
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