Lead Data Engineering & Governance for Digital Twins

USTBC ABB Installation Products Inc.; Lombardia; Ibrido; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

ABB is seeking a Lead Data Engineering, Integration & Governance to build and operate the data engineering foundation for our Digital Engineering Data Strategy. You will own ingestion, preparation, transformation, quality assurance, and integration across PLM, ERP, MES, and other tools, enabling downstream analytics, digital twin platforms, and AAS-based solutions.

The role emphasizes governance, lifecycle management, and collaboration with stakeholders to scale Digital Engineering CoE standards

Competenze

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or related field.
• Proven experience designing and implementing data pipelines and reusable data products across multiple enterprise systems.
• Experience with data quality, metadata management, lifecycle management, governance, and automation.
• Practical experience with modern data engineering platforms and pipeline frameworks (Databricks, Azure Data Factory, or similar).

Mansioni

• Lead the ingestion, preparation, transformation, quality assurance, and integration of data from enterprise source systems.
• Design and evolve scalable data engineering architectures and integration patterns for enterprise interoperability.
• Drive data quality, lineage, and governance, ensuring data is trusted and usable across platforms.
• Oversee operations, governance, security, and lifecycle controls within data platforms.
• Collaborate with stakeholders to implement end-to-end data integration and governance standards.

Conoscenze

Data pipelines

ETL/ELT

Data integration

Data governance

Communication

Formazione

BSc/MSc in CS/SE/IS or related

Strumenti

Databricks

Azure Data Factory

Descrizione del lavoro

ABB is seeking a Lead Data Engineering, Integration & Governance to build and operate the data engineering foundation for our Digital Engineering Data Strategy. You will own ingestion, preparation, transformation, quality assurance, and integration across PLM, ERP, MES, and other tools, enabling downstream analytics, digital twin platforms, and AAS-based solutions.

The role emphasizes governance, lifecycle management, and collaboration with stakeholders to scale Digital Engineering CoE standards