Data Platform & DevOps Engineer

YOUR RESPONSIBILITIES:

Platform Administration & Governance

• Support the administration of Databricks environments (DEV, TEST, PROD)

• Manage user access, roles, and permissions

• Support identity provisioning via Azure AD / AWS IAM

• Collaborate with cloud teams on connectivity, storage access, and security topics

Workspace Operations & Support

• Manage access to notebooks, jobs, clusters, and SQL Warehouses

• Support cluster configuration and usage policies

• Troubleshoot platform-related issues and coordinate with support teams

• Maintain operational documentation and internal guidelines

Data Governance & Security

• Support Unity Catalog governance (catalogs, schemas, tables)

• Manage access controls and data ownership

• Ensure platform security standards and audit readiness

• Contribute to compliance and governance processes

DevOps & Automation

• Support CI/CD processes for Databricks deployments

• Participate in automation initiatives using Git-based workflows

• Contribute to standard templates and deployment practices

• Support lifecycle management across environments

Cost & Usage Management

• Monitor platform usage and identify optimization opportunities

• Support cost tracking and reporting activities

• Contribute to tagging and governance practices for cost attribution

YOUR PROFILE:

Formation:

• Master’s degree (Bac+5) in Computer Science, Software Engineering, Data Engineering, or a related technical field

Experience

• Minimum 1 years of experience as a Data Plateform Enginner

• Good understanding of CI/CD concepts and Git-based workflows

• Experience working in cloud-based data platforms or DevOps environments is a plus

Technical Skills

• Experience with Databricks administration (workspace management, access management, clusters, Unity Catalog is a plus)

• Knowledge of Azure cloud services (preferred) or other cloud providers

• Familiarity with Infrastructure as Code concepts (Terraform is a plus) • Scripting knowledge (Python or Bash is a plus)

Certifications (Nice to Have)

• Databricks certifications (ex: Databricks Certified Data Engineer, Databricks Platform Administrator)

• Cloud certifications such as Azure Data Engineer, AWS Solutions Architect, or equivalent

Languages & Soft Skills

• Strong English communication skills (written and spoken)

• Good analytical and troubleshooting skills

• Ability to work in a collaborative and international environment

• Proactive mindset and structured way of working

Technical Profile: - Databricks Expertise: Deep experience with Unity Catalog, Account Console, and Workspace administration - IaC & Automation: Expert proficiency in Terraform; experience with Databricks CLI, Asset Bundles, and REST API - Cloud Infrastructure: Strong knowledge of Azure (preferred) or AWS/GCP networking and security - CI/CD Tooling: Proven experience with GitHub Actions, Azure DevOps, or GitLab CI - Scripting: Proficient in Python and Bash for platform automation

Smooth Onboarding: Our technical and personal onboarding concept will help you transition easily.

• Career Development: Opportunities for growth and advancement within the company, including mentorship and training programs tailored to your goals.
• Flexible Working Arrangements: Options for mobile working and flexible hours to support a healthy work-life balance.
• Collaborative Environment: A culture that encourages open communication, teamwork, and innovative thinking.
• Community Connection: Regular employee events and activities that foster camaraderie and strengthen team bonds.
• Recognition and Support: A commitment to recognizing your contributions and providing the support you need to thrive.

Be part of our pioneering work– together with our customers we shape the future of mobility!