Staff Data Engineer

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.

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 specialists in their field, in a diverse environment with unparalleled global reach. Feel inspired by our fast growth. You will have the accountability to own your part in enabling a future of sustainable and efficient mobility. You ca