Databricks Platform Engineer

Tasks

• Operate, govern, secure, and continuously improve the Azure Databricks platform, ensuring reliability, scalability, security, and cost efficiency.

• Manage Databricks workspaces, environments, account-level settings, identities, and platform access controls.

• Administer Unity Catalog, including data access governance, permission management, and platform compliance standards.

• Define, maintain, and enforce cluster policies, compute governance standards, and recommended platform usage patterns.

• Monitor platform health, performance, reliability, consumption, and operational KPIs using observability and monitoring tools.

• Manage platform incidents, perform root cause analysis, drive preventive actions, and contribute to service reliability objectives (SLOs).

• Collaborate closely with Platform Engineers, Azure DevOps Engineers, Data Engineers, and Data Operations Experts to provide a secure, reliable, and scalable platform foundation.

• Contribute to infrastructure automation, CI/CD processes, Infrastructure-as-Code implementations, and platform lifecycle management.

• Support engineering teams by providing technical guidance on platform capabilities, governance, security, performance optimization, and best practices.

• Drive platform cost optimization initiatives and contribute to FinOps practices through monitoring, analysis, and usage optimization.

• Create and maintain platform documentation, operational procedures, standards, and engineering best practices.

• Evaluate, test, and introduce new Databricks capabilities and platform features in line with the platform roadmap and evolving business needs.

• Follow agile ways of working and actively contribute to the continuous improvement of the Platform Engineering practice.

Requirements

Education

• University or college degree with specialization in Information Systems, Computer Science, Engineering, or related field.
• Certifications in database management or cloud computing are a plus.

Experience

• 2+ years of experience operating, supporting, or administering Databricks platforms in production environments.
• 2+ years of AWS/Azure PaaS preferred.
• 2+ years of automation frameworks such as Terraform preferred.
• Retail IT domain background is a plus.

Professional and Technical Competencies

• Strong understanding of of data platform architecture, governance, and cloud-based data processing concepts.
• Hands-on experience with Azure Databricks administration, configuration, and platform operations
• Familiarity with cloud computing platforms like AWS and Azure.
• Familiarity with Azure services commonly used alongside Databricks (e.g., ADLS, Azure Monitor, Key Vault, Azure DevOps).
• Understanding of data platform, workflow orchestration, and CI/CD concepts.
• Knowledge of access management, platform governance, Unity Catalog, or cloud security concepts is an advantage.
• Experience with big data technologies and real-time data processing is a plus
• Python and Bash for scripting and automation
• Practical experience generating process documentation and reports.
• Professional usage of Microsoft Office Suite.
• Experience with Atlassian JIRA and Confluence.
• Experience in working with agile methodology and following the best practices of the digital engineering team.

Soft Skills

• Strong analytical, problem-solving and troubleshooting skills.

• Collaboration with cross-functional teams to gather requirements.

• Proven ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards.

• Ability to critically evaluate information, reconcile conflicts, and transform high-level information into actionable insights while identifying core user needs.

• Detail-oriented with a commitment to delivering high-quality work.

• Self-driven, detail-oriented, with excellent time management and multitasking skills.

• Proactive mindset with a positive attitude and a strong sense of ownership, and team mentality.

• Demonstrate effective communication at all organizational levels.

• Strong written and verbal communication skills in English for cross-functional collaboration.

• Growth mindset with a passion for continuous learning, adapting, and staying updated on industry trends and best practices.

• Openness to work with different cultures across CEE and thriving in geo-distributed teams with minimal supervision.

What we offer

• Work with an advanced and innovative tech stack.

• Collaborate with multinational teams and projects across the CEE region.

• Enjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment.

• Explore versatile career paths in a dynamically growing international organization at Local and Group level.

• Gain cross-industry experience through our expanding portfolio of businesses (both within and beyond MOL Group).

• Be part of a supportive and inclusive workplace that values innovation and creativity.

• Enjoy a hybrid work model: two days of home office and three days at the beautiful MOL Campus.

• Access Medicare health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.

• Participate in regular team outings and MOL family events.

Main Recruitment Steps

• Initial call: You will be contacted by MOL Recruitment via phone for a short chat.

• Interview: You can expect three interview rounds, where you can meet your direct manager, some experts from the team, ask your questions and present your skills and career path. We always make sure you receive timely feedback after each round.

• Technical Assessment: You will either receive a take-home assignment after the first interview or be asked to solve an exercise on the spot at one of the interviews.