Data Engineer developing and enhancing Azure-based data platform for cloud analytics. Engaging in collaboration for data-driven decisions in supply chain, logistics, and finance.
Responsibilities
Development and further enhancement of our Azure-based data platform – from the data lake to the analytical front end.
Design, implementation and operation of data pipelines, e.g., using Azure Data Factory, Synapse Pipelines or comparable orchestration tools.
Processing large volumes of data on Databricks / Apache Spark (PySpark) or similar big-data frameworks.
Use of cloud data lakes / object storage (e.g., Azure Data Lake, S3, GCS), including security and access models.
Modeling analytical data structures (e.g., dimensional models or Data Vault).
Delivering reports and analytical models via BI and analytics tools such as Power BI, Tableau or comparable solutions.
Ensuring data quality, consistency, performance and governance.
Integration of internal and external systems, including B2B and EDI data flows.
Close collaboration within cross-functional teams, including interaction with executive management.
Requirements
Several years of professional experience (minimum 3 years) as a Data Engineer or in a comparable role.
Experience with cloud environments, preferably Microsoft Azure.
Hands-on experience with data and analytics technologies, including strong SQL skills—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 such as Supply Chain & Logistics (inventory, shipments, 3PL, warehousing, routing) and/or Order-to-Cash / Procure-to-Pay.
Experience with B2B / EDI integrations.
Very good English skills (B2+) and good German skills (B2+).
Benefits
Permanent employment with regular salary increases.
Company pension scheme as well as health and accident insurance.
Bicycle leasing, company card, meal subsidy, Deutschlandticket (German public transport pass) and much more.
Flexible working hours and a home office/remote work policy.
Modern equipment, height-adjustable desks and a green terrace.
Good transport connections, underground parking, lunch options in the immediate vicinity.
Summer party with family and friends, Christmas party, team events and more.
Hot and cold beverages, fruit basket, and shared breakfast.
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