23 hours ago
Bergamo, ItalyStaff+
Responsibilities
- Design and evolve scalable data engineering architectures, integration patterns, and database structures across enterprise source systems.
- Build and operate ETL/ELT pipelines, ingestion frameworks, workflows, APIs, automation capabilities, and reusable data products.
- Prepare, transform, harmonize, enrich, and semantically map enterprise data for knowledge graphs, catalogs, registries, Digital Twins, and downstream consumers.
- Establish data quality, validation, lineage, traceability, monitoring, exception handling, and version-control practices.
- Manage data platform operations, integration workflows, quality reporting, issue resolution, migrations, upgrades, and continuous improvement.
- Implement metadata, catalog, access management, auditing, compliance, security, and lifecycle controls in data products and workflows.
- Optimize enterprise data platforms through performance tuning, infrastructure consolidation, availability planning, disaster recovery, workspace management, monitoring, and root-cause analysis.
- Partner with stakeholders, architects, semantic modelers, domain experts, vendors, and platform teams to deliver integrations and scale Digital Engineering standards.
Requirements
- Bachelor's or master's degree in Computer Science, Software Engineering, Information Systems, or a related field.
- Proven experience working with large-scale data in complex enterprise environments.
- Strong experience designing and implementing data pipelines, ingestion frameworks, transformation logic, and reusable data products across multiple enterprise systems.
- Experience with data quality, metadata management, lifecycle management, operational processes, and technical governance implementation.
- Hands-on experience with data engineering, ETL/ELT pipelines, data ingestion, transformation, preparation, and quality automation.
- Practical experience with modern data engineering platforms and pipeline frameworks such as Databricks or Azure Data Factory.
- Experience with metadata management, data catalogs or registries, data lineage, and traceability.
- Exposure to semantic integration, knowledge graphs, and ontology-driven architectures is preferred.
- Strong communication, problem-solving, decision-making, ownership, and stakeholder-influence skills, including the ability to work without direct authority.
- Fluency in English.
Benefits
- Minimum annual salary of €53,000 under the Metalmeccanico CBA, plus AIP target variable pay of 15% and eligibility for a Company Productivity Bonus.
- Flexible working hours and hybrid work options.
- Wellbeing support for employees and their families.
- Welfare plan with personalized services.
- Canteen or meal vouchers.
- Hybrid work model.
Tech Stack
Databricks
Categories
Data Engineering
About ABB
ABB builds electrification, robotics, motion, and process automation hardware and software for industrial, utility, transportation, and infrastructure customers. Its portfolio spans motors and drives, robots, PLCs, switchgear, and EV charging, sold as equipment, systems, and services under the ABB Ability platform. Formed in 1988 and headquartered in Zurich, it is a public company traded on the SIX Swiss Exchange and NYSE.