Senior Data Engineer (m/w/d)
Core
Operate and evolve the Data Engineering and Analytics platform on Databricks, building pipelines and curated datasets for data-driven decisions and AI applications.
Role type
Senior Data Engineer (Cloud-native ETL/ELT)
Builds
Data pipelines, curated datasets, and operationalized ML/AI pipelines for Advanced Analytics and AI.
Domain
Retail / E-commerce / Data Engineering
Deliverable
production ML models
Required skills
Databricks, Python, SQL, Cloud (Azure/AWS), CI/CD, Infrastructure as Code (Terraform), Containerization, Data Modeling, Lakehouse principles, Data Governance
Preferred skills
SAP Datasphere
Responsibilities
Operate and evolve the Data Engineering and Analytics platform on Databricks; Develop data pipelines and curated datasets for data-driven decisions and AI applications; Integrate and transform data from diverse source systems; Ensure data quality through automated validations, monitoring, and governance; 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