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Data Engineer Manufacturing Data Mesh - Siemens Energy Global GmbH & Co. KG
Data Engineer
Lead the design and implementation of a manufacturing data mesh, building scalable data pipelines, ensuring data quality, and enabling cross‑functional analytics across the enterprise.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Python, Spark, and SQL to ingest, transform, and store manufacturing data.
- Implement and evolve a data mesh architecture, ensuring data products are discoverable, governed, and reusable across business units.
- Collaborate with data scientists, product owners, and IT teams to define data models, metadata, and API contracts.
- Monitor pipeline performance, troubleshoot issues, and optimize for scalability and cost on AWS.
- Enforce data quality, security, and compliance standards through automated testing and governance frameworks.
Requirements
- 3+ years of experience as a data engineer in a manufacturing or industrial environment.
- Strong proficiency in Python, SQL, and Spark for large‑scale data processing.
- Hands‑on experience with AWS services (S3, Glue, Redshift, Athena, Lambda).
- Knowledge of data mesh principles, data cataloging, and metadata management.
- Excellent problem‑solving skills and a collaborative mindset.