LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCE
Pubblicato il 06-08-2026 - Experteer Italy in Bergamo
Experteer Overview In this role, you will architect and operate the data engineering foundation for the Digital Engineering Data Strategy, enabling trusted, interoperable data across enterprise systems. You collaborate with cross-functional teams to support semantic platforms, Digital Twins, AAS, and analytics, ensuring data quality and traceability. You will drive scalable data pipelines, integration patterns, and governance to empower a data-driven Digital Engineering organization.
This position offers impact through enabling enterprise interoperability and sustainable data products. You will work hybrid from Bangalore within ABB Smart Power, contributing to energy-efficient and data-enabled solutions.
Retribuzione / Benefits Design and evolve scalable data architectures and integration patterns for enterprise ingestion and interoperability.
Build and operate ETL/ELT pipelines, APIs, and reusable data products for downstream consumption and semantic platforms.
Lead data preparation, transformation, enrichment, and semantic mapping for knowledge graphs and catalog publication.
Establish data quality, lineage, monitoring, and version-control across platforms.
Oversee pipeline operations, governance, security,
and lifecycle controls with policy embedding and catalog integration.
Optimize data platforms infrastructure, performance, availability, and disaster recovery.
Prepare and expose semantically ready data for ontologies, knowledge graphs, and semantic layers.
Collaborate with stakeholders to scale Digital Engineering CoE standards and best practices.
Responsabilità Large-scale data experience in complex enterprise environments Proven track record designing data pipelines and reusable data products Experience with data quality, metadata management, lifecycle and governance Hands‐on ETL/ELT, data ingestion, transformation, and quality automation Practical experience with Databricks, Azure Data Factory or similar Knowledge of metadata management, data catalogs/registries, lineage and traceability Exposure to semantic integration, knowledge graphs, ontology-driven architectures a plus Excellent communication with business stakeholders Strong problem‐solving and ownership mindset Ability to influence across organizational structures without direct authority