Data Engineer developing and enhancing Azure-based data platform to support analytics processes for operational efficiency. Required expertise in SQL, cloud data, and collaboration with cross-functional teams.
Responsibilities
Develop and enhance our Azure-based data platform – from the data lake to the analytical frontend
Design, implement, and operate data pipelines using tools such as Azure Data Factory, Synapse Pipelines, or comparable orchestration tools
Process large-scale data using Databricks / Apache Spark (PySpark) or similar big data frameworks
Work with cloud data lakes / object storage (e.g., Azure Data Lake, S3, GCS), including security and access models
Model analytical data structures (e.g., dimensional models or Data Vault)
Deliver reports and analytical models via BI and analytics tools such as Power BI, Tableau, or similar solutions
Ensure data quality, consistency, performance and governance
Integrate internal and external systems, including B2B and EDI data flows
Collaborate closely in cross-functional teams, up to the executive level
With growing experience, take responsibility for architecture decisions, technical guidelines, and sustainable end-to-end solutions.
Requirements
Several years of professional experience (3+ years) as a Data Engineer or in a comparable role
Experience in cloud environments, ideally Microsoft Azure
Hands-on experience with data and analytics technologies
Strong SQL skills, including complex joins, window functions, and performance optimization
Experience building analytical data models for reporting and analytics
Experience with semantic models and performance optimization in BI environments
Familiarity with business domains
Experience with B2B/EDI integrations
Excellent English (B2+) and good German skills (B1+) – desirable
Benefits
Permanent contract
Full-time
Hybrid working
Company card
Meal allowance
Internal and external opportunities for lifelong learning and growth
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