Data Platform Engineer

Who We AreAxpo is Switzerland’s largest producer of renewable energy and an innovation leader in international energy trading. To support our digital and data-driven ambitions, we are investing in robust, secure, and scalable infrastructure.You will be part of a platform team working hand-in-hand with the Chief Data & Analytics Office (CDAO) and business data teams to ensure that our data platform operates reliably, securely, and in full alignment with enterprise-wide governance policies and business needs.About the RoleAs a Databricks Platform Engineer within the Infrastructure Business Area, you will focus on the secure, scalable, and reliable operation of Axpo’s Databricks platform in the Azure cloud. You’ll take a lead role in automating infrastructure, integrating platform capabilities into broader enterprise services, and ensuring robust networking, storage, and governance alignment. You’ll collaborate with platform, security, and data teams to provide a high-performing and compliant analytics environment.Your ResponsibilitiesAdminister and operate Databricks workspaces, jobs, clusters, and Unity Catalog across multiple environmentsAutomate infrastructure provisioning and platform operations using Terraform, CI/CD pipelines, and Databricks APIsEnsure robust network integration, including secure VNet peering, firewall rules, and private endpoint configurations to protect sensitive data flowsSupport integration of Azure Blob Storage, ensuring efficient, secure data access for both ingestion and analytics use casesContribute to the configuration and troubleshooting of external database connections (e.g., via JDBC) and other downstream system integrationsEnsure proper access control and identity management using SCIM, AAD, and role-based permissions across workspaces and Unity CatalogSupport platform observability by implementing and managing telemetry pipelines (Datadog, Grafana, Dragster)Collaborate with security teams to ensure compliance with policies and frameworks (e.g., data encryption, audit logging, GDPR)Develop foundational knowledge of API Gateway capabilities and support interfacing Databricks workloads with internal or external servicesContribute to platform documentation, reusable modules, and support runbooksAct as a technical reference for platform-related challenges and incidentsWhat You BringA university degree in Computer Science, IT, or a related technical fieldProven experience operating Databricks in enterprise or cloud-native environmentsSolid hands-on expertise in Azure networking, including VNet integration, firewall configuration, and network security controlsFamiliarity with integrating Databricks with Azure Blob Storage, external databases, and enterprise APIsWorking knowledge of Azure API Management or similar gateways, and how APIs can be exposed or consumed securely by DatabricksProficiency in Terraform, Azure DevOps, and scripting languages like Python or ShellGood understanding of authentication, authorization, and identity federation within cloud platformsAwareness of cost monitoring and performance tuning within Databricks and Azure servicesStrong communication skills and a collaborative mindsetFluent in EnglishTechnologies You’ll Work WithCloud & Infra: Microsoft Azure, Azure VNet, Private Endpoints, Blob Storage, API ManagementPlatform: Databricks, Delta Lake, Unity Catalog, SparkIaC & Automation: Terraform, Azure DevOps, Bitbucket/GitHub, CI/CDScripting & Integration: Python, REST APIs, JDBC, SCIMObservability: Datadog, Grafana, DragsterOther: Docker, Linux, Azure Active DirectoryNice to HaveExperience with multi-workspace governance and