Senior Analytics Engineer – AI-Driven Data Platform

ABB E-mobility B.V.; San Giovanni Valdarno; On-site; EUR 39,000 - 52,000; Full time

Job summary

ABB E-mobility is seeking an Senior Analytics Engineer in Italy to shape the data ecosystem and lead analytics engineering practices. You will drive scalable data models, governance, and AI-powered analytics adoption across federated data domains, partnering with senior data leaders to set standards and enable a self-service culture.

You will mentor data practitioners, deliver production-grade data pipelines, and harmonize business metrics to improve trust, decision speed, and impact across the

Qualifications

• 8+ years in Analytics Engineering, Data Engineering or BI with leadership experience.
• Deep knowledge of modern analytics engineering and enterprise data modeling.
• Hands-on with dbt, SQLMesh, Dataform or similar; production-grade data pipelines.
• Advanced SQL and strong Python for complex transformations and workflows.
• Expertise in Azure Databricks including Unity Catalog and cloud data architectures.
• Proven data governance, quality monitoring and cross-team collaboration.

Responsibilities

• Define and evolve analytics engineering architecture for scalable data models.
• Drive strategy and tooling roadmap with standards and best practices.
• Lead harmonization of business metrics and shared definitions.
• Improve data governance, quality checks and monitoring frameworks.
• Coach analysts and domain teams; foster data community and collaboration.
• Deliver complex data modeling and pipelines; optimize transformations.
• Promote AI-native analytics workflows and reusable frameworks.
• Collaborate with stakeholders to translate business needs into scalable models.

Skills

years of experience in Analytics/Data

Advanced SQL

Python

Azure Databricks

Unity Catalog

Lakeflow

Databricks SQL

Data governance

Mentoring / coaching

Tools

dbt

SQLMesh

Dataform

Job description

ABB E-mobility is seeking an Senior Analytics Engineer in Italy to shape the data ecosystem and lead analytics engineering practices. You will drive scalable data models, governance, and AI-powered analytics adoption across federated data domains, partnering with senior data leaders to set standards and enable a self-service culture.

You will mentor data practitioners, deliver production-grade data pipelines, and harmonize business metrics to improve trust, decision speed, and impact across the