Data Engineer (m/w/d), Konzernzentrale Leipzig
Core
Design and operate modern data platforms, develop data products, and create foundations for data-driven decisions within the energy sector.
Role type
Data Engineer
Builds
Data platforms, data pipelines (Batch, Near-Realtime, Realtime), data products, Data Marketplace, Self-Service analytics
Domain
Energy industry, Data Engineering, Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, ETL/ELT process development, Data modeling, Data quality management, Metadata management, BI solutions (Power BI), Realtime/Streaming data handling, Large-scale data processing
Preferred skills
Modern data platforms (Microsoft Fabric, Databricks, Snowflake), Data Governance, Agile processes
Technologies
Microsoft Fabric, Databricks, Snowflake, Power BI
Responsibilities
Develop and optimize data platforms for analysis and reporting; Design and implement data pipelines for various processing speeds; Create and maintain scalable data models, Data-Lake, and Lakehouse structures; Ensure data quality, availability, performance, and history; Automate and standardize development, deployment, and operations processes; Collaborate with business units to translate requirements into technical solutions; Support business units in using modern BI and Self-Service tools; Monitor and integrate new technologies in Data Engineering and Business Intelligence.
Seniority
Mid-Senior, hands-on IC
