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1–2 jobs· newest first

LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCENew
Abb · Bergamo, Italy
€53K–€53KHybrid · Full-time
LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCENew
ABB · Bergamo, Italy
€53K–€53KHybrid

+10K new in the last hour

LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCE

Abb · Posted Nov 11, 2026

Bergamo, Bergamo, Italy
Hybrid
Full-time
€53K–€53K per year

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Lead the design, implementation, and governance of enterprise data engineering and integration solutions for ABB’s Digital Engineering CoE.

Compensation

Minimum annual salary: € 53.000 Variable Pay: AIP target 15% + Eligible for Company Productivity Bonus

Responsibilities

Design and evolve scalable data engineering architectures
Build and operate robust data integration capabilities
Lead data preparation, transformation, and quality processes
Drive operational excellence for data platforms
Implement governance, compliance, and security controls

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or related field

Skills

data pipelines ingestion frameworks ETL/ELT pipelines data transformation data engineering metadata management data catalogs data lineage semantic integration knowledge graphs ontology-driven architectures Databricks Azure Data Factory

Benefits

Flexible working hours
Hybrid work options
Wellbeing support for employees and families
Welfare plan with personalized services
Canteen or meal vouchers

See full job description

LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCE

ABB · Posted Nov 11, 2026

Bergamo, Bergamo, Italy
Hybrid
€53K–€53K per year

Apply with RefersoAI Apply on careers page

Lead the design, implementation, and governance of enterprise data engineering and integration solutions for ABB’s Digital Engineering Data Strategy.

Compensation

Minimum annual salary: € 53.000 Variable Pay: AIP target 15% + Eligible for Company Productivity Bonus

Responsibilities

Build and operate data engineering foundations for Digital Engineering Data Strategy
Design scalable data engineering architectures, integration patterns, and database structures
Build and operate robust data integration capabilities including ETL/ELT pipelines, workflows, APIs, automation frameworks, and reusable data products
Lead preparation, transformation, harmonization, enrichment, and semantic mapping of enterprise data for knowledge graph population and downstream consumption
Establish data quality, validation, traceability, lineage, monitoring, exception-handling, and version-control practices

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or related field

Skills

data pipelines ETL/ELT data ingestion

data transformation

data preparation

data quality automation

metadata management

semantic integration

knowledge graphs

ontology-driven architectures

Azure Data Factory

Benefits

Flexible working hours
Hybrid work options
Work-life integration and Wellbeing support
Welfare plan with personalized services
Canteen or meal vouchers

See full job description