Senior Data Engineer (m/w/d)
Core
Building and operating cloud-native data engineering and analytics platforms to enable data-driven decisions and AI applications for a European omnichannel textile retailer.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Scalable data pipelines, curated datasets, and operationalized ML/AI infrastructure.
Domain
Retail / E-commerce / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud-native ETL/ELT, Batch and Streaming pipelines, Databricks, Microsoft Azure or AWS, Python, SQL, Software Engineering, Orchestration, CI/CD, Infrastructure as Code, Containerization, Data Modeling, Lakehouse principles, Data Governance
Preferred skills
SAP environment knowledge (e.g., SAP Datasphere), Project leadership
Technologies
Databricks, Microsoft Azure, AWS, Python, SQL, Terraform
Responsibilities
Operate and evolve the Data-Engineering and Analytics platform; Develop data pipelines and curated datasets with Data Scientists and Architects; Integrate and transform data from diverse source systems; Ensure data quality via automated validations and monitoring; Operationalize Analytics, ML, and AI pipelines using DevOps/MLOps principles; Contribute to the evolution of Data-Engineering principles and standards.
Seniority
Senior, hands-on IC