Data Analyst & SW Developer

YOUR RESPONSIBILITIES:

Platform Administration & Governance

Support the administration of Databricks environments (DEV, TEST, PROD). Manage user access, roles, and permissions. Support identity provisioning through Azure AD and AWS IAM. Collaborate with cloud teams on connectivity, storage access, and security-related topics.

Workspace Operations & Support

Manage access to notebooks, jobs, clusters, and SQL Warehouses. Support cluster configuration and enforce usage policies. Troubleshoot platform-related issues and coordinate with support teams to ensure timely resolution. Maintain operational documentation and internal guidelines.

Data Governance & Security

Support Unity Catalog governance, including catalogs, schemas, and tables. Manage access controls and data ownership. Ensure compliance with platform security standards and audit requirements. Contribute to data governance and compliance initiatives.

DevOps & Automation

Support CI/CD processes for Databricks deployments. Participate in automation initiatives using Git-based workflows. Contribute to the development and maintenance of standard templates and deployment practices. Support application and platform lifecycle management across environments.

Cost & Usage Management

Monitor platform usage and identify optimization opportunities. Support cost tracking, reporting, and analysis activities. Contribute to tagging strategies and governance practices for accurate cost allocation and attribution.

A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions. Complex projects that go beyond just pipelines covering big data processing and large-scale ML/DL deployment. Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps. A team where your input and technical decisions truly matter. A competitive package and benefits. Join us and make a direct impact on shaping the future of Data, AI, and Mobility. If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further!

Desired Candidate Profile

YOUR PROFILE:

Education

Master s Degree (Bac+5) in Computer Science, Software Engineering, Data Engineering, or a related technical field.

Experience

Minimum of 1 year of experience as a Data Platform Engineer. Good understanding of CI/CD concepts and Git-based workflows. Experience working with cloud-based data platforms or in DevOps environments is a plus.

Technical Skills

Experience with Databricks administration, including workspace management, access management, cluster administration, and Unity Catalog. Knowledge of Microsoft Azure cloud services (preferred) or other cloud platforms such as AWS or GCP. Familiarity with Infrastructure as Code (IaC) concepts; experience with Terraform is a plus. Basic scripting skills in Python and/or Bash are an advantage.

Certifications (Nice to Have)

Databricks certifications, such as: Databricks Certified Data Engineer Databricks Platform Administrator Cloud certifications, such as: Microsoft Azure Data Engineer Associate AWS Solutions Architect Equivalent cloud certifications

Languages & Soft Skills

Strong communication skills in English, both written and spoken. Good analytical, problem-solving, and troubleshooting abilities. Ability to work effectively in a collaborative and international environment. Proactive mindset with a structured and results-oriented approach to work.

Technical Profile

Databricks Expertise: Hands-on experience with Unity Catalog, Account Console, and Workspace Administration. IaC & Automation: Strong proficiency in Terraform; experience with Databricks CLI, Databricks Asset Bundles, and REST APIs. Cloud Infrastructure: Solid understanding of Azure (preferred) or AWS/GCP networking, security, and access management. CI/CD Tooling: Experience with GitHub Actions, Azure DevOps, GitLab CI, or similar CI/CD platforms. Scripting & Automation: Proficiency in Python and Bash scripting for platform automation and operational efficiency.