E.ON
From E.ON's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
As a Senior Data Platform Engineer, you will play a key role in shaping and operating these platforms.
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.
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
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