Senior Data Engineer (Data Automation) | Senior Data Engineer (Data Automation) (d/f/m)
TK Elevator GmbH
Job Summary
This Senior Data Engineer role focuses on Data Automation within the global Architecture and Technology team, driving the evolution of the Common Data Platform (CDP). The successful candidate will be responsible for designing and optimizing robust data ingestion and transformation pipelines utilizing the Microsoft Azure ecosystem, specifically Azure Databricks, Data Factory, and ADLS. A core function involves applying advanced automation techniques to streamline and scale recurring data engineering tasks, ensuring data consistency, quality, and reusability through strong data modeling skills. The role requires translating complex business requirements into automated, value-creating solutions, often involving the development of reporting and visualization tools like Power BI. Candidates must possess a Bachelor’s degree and 3+ years of experience, coupled with hands-on expertise in the specified Azure stack. This position offers a unique opportunity to explore and integrate cutting-edge agentic AI capabilities (like Azure AI Foundry and Databricks Agent Bricks) to enhance enterprise automation and orchestration.
Required Skills
Education
Bachelor’s degree in Computer Science, Data Engineering, or a related field
Experience
- 3+ years in data engineering, automation, or applied analytics
- Hands-on expertise in Azure Databricks, Data Factory, SQL, Python, and Power BI
- Proven capability in data modelling and building reusable, scalable data structures
- Professional experience with data pipeline automation, CI/CD, and orchestration frameworks
Languages
Additional
- Not specified
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