Jobs / Hoffmann Group
Senior Data Platform Engineer (m/w/d)
Hoffmann Group · München, BY, Deutschland
München, BY, DeutschlandRemote
Remuneration
Not specified
Location
München, BY, Deutschland
Visa sponsorship
Not specified
Job summary
The Senior Data Platform Engineer operates and continuously improves the core infrastructure of a data and AI platform, with a focus on automation, cloud architecture, and CI/CD. The role develops Python platform services, manages Terraform infrastructure across Azure and Databricks environments, administers Databricks workspaces and Unity Catalog, and maintains Azure DevOps pipelines, monitoring, and incident response. It also helps establish a secure foundation for teams to develop and run AI workloads.
Benefits
30 days of annual leaveFlexible working hoursHome working within Germany for up to 10 days per monthMobile work in the EU/EEA and Switzerland for up to 20 days per calendar yearFree company restaurantFree coffee and drinksTravel cost subsidyEmployee discountsFree parkingBicycle leasingOn-site sports classesEGYM Wellpass membership or monthly fitness subsidyCompany doctorCompany events
Qualifications
- Practical experience building YAML-based CI/CD pipelines and release workflows.
- Strong experience with Azure services and architecture patterns, including Entra, Service Principals, and Key Vault.
- Production experience using Terraform in Azure environments.
- Knowledge of Databricks workspace and Unity Catalog administration.
- Strong Python software engineering skills, including packaging, testing, and SDK/API use.
- Experience with cloud monitoring, alerting, and logging, such as Azure Monitor, and operating production services.
- Good written and spoken English; German is desirable.
- Bash knowledge is an advantage.
Responsibilities
- Develop and maintain core Python platform services for provisioning, deployment, and standards automation.
- Manage Terraform infrastructure across Azure and Databricks development, QA, and production environments.
- Improve Azure architecture for compute, storage, networking, and application hosting, emphasizing security, reliability, and cost efficiency.
- Administer Databricks workspaces, Unity Catalog, compute resources, and access permissions.
- Provide infrastructure for data team tools such as dbt and Azure Data Factory.
- Build and maintain reusable Azure DevOps pipeline templates and release workflows with quality gates.
- Operate platform monitoring, alerting, incident response, and cost monitoring.
- Help create a secure, controlled foundation for developing and running AI workloads.
Skills
AzureAzure DevOpsAzure Key VaultAzure MonitorBashDatabricksdbtPythonTerraformVaultIAM
Languages
EnglishGerman
Work schedule
Flexible working hours
Relocation
No