Data Platform Engineer

The Team – your impact

Our Data & AI Products and Platform team is at the core of E.ON’s data-driven transformation. We build and operate central platform products that enable colleagues across business units to work with data efficiently, securely, and at scale.

As part of our platform strategy, Databricks and Snowflake are key components of the modern data landscape. While adoption is growing rapidly, establishing a governed, enterprise-ready platform foundation is critical to ensure stability, scalability and compliance to meet internal customer expectations.

As a Senior Data Platform Engineer, you will play a key role in shaping and operating these platforms. You will work closely with platform architects, data engineers, governance experts, and business stakeholders to create a future-proof platform offering.

Your Role – meaningful & rewarding

• Drive the establishment of a central, governed Databricks & Snowflake platform across E.ON
• Design, implement, and continuously improve platform capabilities such as: Onboarding & deployment processes; definition and implementation of governance guardrails, monitoring, load & cost transparency
• Enable business teams to adopt Databricks and Snowflake effectively through self-service and automation
• Provide consulting and support to internal customers building advanced analytics and data products
• Develop and maintain infrastructure-as-code and automation tooling to ensure scalable platform operations
• Collaborate with architecture, security, and data governance teams to ensure compliance and enterprise readiness
• Contribute to documentation, training materials, and community formats to drive user enablement and platform adoption
• Align platform evolution with business needs and emerging technologies (e.g. advanced analytics, AI/ML workloads)

Your Profile – authentic & open-minded

• Degree in computer science, IT, or a related field, or equivalent practical experience
• Strong experience with modern data platforms, particularly: Databricks (e.g. Spark, Unity Catalog, workflows), Snowflake (data warehousing, architecture, data sharing)
• Solid understanding of data engineering and platform concepts: Data pipelines, ETL/ELT architectures, Batch & streaming processing, Data lifecycle and governance
• Experience with cloud platforms (preferably Azure) and enterprise-scale environments
• Hands-on experience with automation and DevOps practices: Infrastructure-as-code (e.g. Terraform), CI/CD pipelines (e.g. GitLab), APIs and scripting (e.g. Python)
• Strong knowledge of security, compliance, and governance in data platforms
• Experience with Databricks network architecture (e.g. private endpoints, NCC, VNet injection, network security)
• Excellent communication skills and strong service orientation
• Fluent in English