Data Platform Engineer

Who We Are Aumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora. Axpo 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 Role As 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 Responsibilities Administer and operate Databricks workspaces, jobs, clusters, and Unity Catalog across multiple environments Automate infrastructure provisioning and platform operations using Terraform, CI/CD pipelines, and Databricks APIs Ensure robust network integration, including secure VNet peering, firewall rules, and private endpoint configurations to protect sensitive data flows Support integration of Azure Blob Storage, ensuring efficient, secure data access for both ingestion and analytics use cases Contribute to the configuration and troubleshooting of external database connections (e.g., via JDBC) and other downstream system integrations Ensure proper access control and identity management using SCIM, AAD, and role-based permissions across workspaces and Unity Catalog Support 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 services Contribute to platform documentation, reusable modules, and support runbooks Act as a technical reference for platform-related challenges and incidents What You Bring A university degree in Computer Science, IT, or a related technical field Proven experience operating Databricks in enterprise or cloud-native environments Solid hands-on expertise in Azure networking, including VNet integration, firewall configuration, and network security controls Familiarity with integrating Databricks with Azure Blob Storage, external databases, and enterprise APIs Working knowledge of Azure API Management or similar gateways, and how APIs can be exposed or consumed securely by Databricks Proficiency in Terraform, Azure DevOps, and scripting languages like Python or Shell Good understanding of authentication, authorization, and identity federation within cloud platforms Awareness of cost monitoring and performance tuning within Databricks and Azure services Strong communication skills and a collaborative mindset Fluent in English Technologies You'll Work With Cloud & Infra: Microsoft Azure, Azure VNet, Private Endpoints, Blob Storage, API Management Platform: Databricks, Delta Lake, Unity Catalog, Spark IaC & Automation: Terraform, Azure DevOps, Bitbucket/GitHub, CI/CD Scripting & Integration: Python, REST APIs, JDBC, SCIM Observability: Datadog, Grafana, Dragster Other: Docker, Linux, Azure Active Directory Nice to Have Experience with multi-workspace governance and