Job Description

- Design, develop, and operate scalable and maintainable data pipelines in the Azure Databricks environment
- Develop all technical artefacts as code, implemented in professional IDEs, with full version control and CI/CD automation

- Enable data-driven decision-making in Manufacturing & Engineering (M&E) and Quality by ensuring high data availability, quality, and reliability

- Implement data products and analytical assets using software engineering principles in close alignment with business domains and functional IT

- Apply rigorous software engineering practices such as modular design, test-driven development, and artifact reuse in all implementations

- Global delivery footprint; cross-functional data engineering support across Manufacturing & Engineering domains

- Collaboration with business stakeholders, functional IT partners, product owners, architects, ML/AI engineers, and Power BI developers
<...