Data Engineer (m/w/d)
Core
Building and optimizing scalable data pipelines, integrating SAP and non-SAP data sources, and developing cloud data platforms and lakehouse architectures for a food industry company.
Role type
Data Engineer
Builds
Scalable data pipelines, data models, and data products
Domain
Food industry, Big Data, Cloud
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Data modeling, ETL/ELT processes, Python, Spark, PySpark, Azure Databricks, Requirements engineering
Preferred skills
SAP Datasphere, SAP Business Data Cloud, Modern cloud and lakehouse architecture understanding
Technologies
Azure, Databricks, SAP, Spark, PySpark
Responsibilities
Develop, operate, and optimize scalable data pipelines; Integrate and harmonize data from SAP and non-SAP systems; Conceive and provide data models and data products; Contribute to data architecture design; Ensure data quality, performance, availability, and monitoring; Collaborate with business units, BI teams, and stakeholders.
Seniority
Mid-level (3-5 years experience)