Staff Data Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8n7q4r

As Principal Data Engineer, you will lead the evolution of ABB E-mobility’s data platform and play a key role in scaling our data capabilities across the organization. Working at the center of a federated data ecosystem, you will define the technical foundations, governance standards and engineering practices that enable domain teams to build, own and operate trusted data products while accelerating data-driven decision-making and AI adoption across the business.

Dato che un elevato numero di candidati potrebbe essere interessato a questa posizione, si assicuri di inviare il suo CV il prima possibile.
Your Responsibilities

-

- Define and evolve our self-service data platform, enabling domain teams to build, deploy and operate data products independently while ensuring scalability, reliability, security and ease of use across the organization.

- Provide technical leadership across the data community, driving architecture decisions that balance domain autonomy with interoperability, consistency and long-term platform sustainability in a Data Mesh environment.

- Design and implement federated governance capabilities, embedding data contracts, schema evolution, data quality controls, access management, privacy requirements and security policies directly into platform processes and tooling.

- Build and maintain engineering accelerators and paved paths, including reusable templates, CI/CD frameworks, infrastructure modules and developer tooling that simplify adoption and promote engineering best practices across teams.

- Own platform performance, reliability and cost optimization, continuously improving operational excellence and ensuring that data services remain scalable, efficient and resilient as adoption grows.





- Partner with IT and business stakeholders on strategic integration initiatives, providing technical guidance on enterprise data architecture and identifying opportunities to leverage the data platform as a middleware and integration layer.

- Act as a hands-on data engineering consultant, supporting functions with limited technical capabilities by designing and implementing ingestion patterns, pipelines and data solutions while helping build internal expertise.

- Drive the adoption of AI-native engineering workflows, developing frameworks, reusable assets and agentic AI capabilities that support end-to-end data work from ingestion and transformation to analytics and visualization, with appropriate governance and human oversight.

Your Background

-

- 8+ years of experience in Data Engineering, Data Platform Engineering or related disciplines, including significant technical leadership responsibilities within complex data environments.

- Deep expertise in Azure Databricks, including PySpark, Delta Lake, Unity Catalog, Lakeflow (Declarative Pipelines and Jobs) and Databricks SQL, with a proven ability to architect and scale modern cloud data platforms.

- Strong software engineering skills in Python and SQL, with hands-on experience designing, developing,



optimizing and maintaining production-grade data pipelines and data products.

- Proven experience with Infrastructure as Code and platform automation, including Terraform, Databricks Asset Bundles, CI/CD pipelines and modern developer workflows, ideally within Azure DevOps environments.

- Strong understanding of data governance, security and access management, including hands-on experience implementing enterprise-grade controls across Azure and Databricks environments using tools such as Microsoft Entra ID.

- Extensive experience with data integration patterns, including batch ingestion, API-based integrations, streaming architectures and large-scale data processing in distributed environments.

- Excellent communication, stakeholder management and influencing skills, with a demonstrated ability to drive alignment across teams, mentor technical communities and lead initiatives through expertise and collaboration rather than formal authority.

Nice to Have

-

- Experience building and scaling Data Mesh or federated data platforms.

- Familiarity with Azure Data Explorer (ADX), Grafana, Power BI, SAP Datasphere and SAP Analytics Cloud (SAC).

- Experience defining platform standards, developer enablement strategies and community-driven engineering practices.

- Hands-on experience integrating AI into engineering workflows, including agentic AI frameworks, coding assistants, automated development processes and AI-enhanced data operations.

- Experience supporting organizations undergoing significant digital, data and business transformation, with a strong passion for innovation, knowledge sharing and technical excellence.

What’s in it for you?

Work with the best spe

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8n7q4r