Data Engineer (Databricks)

Looking for stable projects with modern tech and room to grow? We are Clouds on Mars, an IT consulting company specializing in architecting and delivering solutions that exceed current technological and domain standards. From cloud and data engineering through AI-driven analytics to web apps and automation – we manage the full project cycle. How we work Our 120+ experts, organized into 4 Business Units, manage projects end-to-end - from technical presales and solution design to final delivery. Each team combines specialists from different fields - Data Engineers, BI Consultants, AI Engineers, Solution Architects, Power Platform Consultants, and Project Managers, enabling us to deliver truly comprehensive solutions. Every role is end-to-end: we don’t just execute tasks, we act as trusted advisors, guiding clients and leading projects from A to Z. What we stand for You’ll always have a team to count on and space to try out new ideas. We believe in ownership where your work will drive real change, not just tick boxes. Here, learning never stops - we grow together and raise the bar step by step. And because we work with respect and passion, you won’t just deliver to clients but build real solutions along with them. Technologies we work with Data Platforms: Microsoft Fabric, Databricks, and SnowflakePower BI, Power Platform: Power Automate, Power Apps, Copilot StudioAzure Machine Learning, AI Foundry, Cognitive Services, MCP ServersPython, React.js, App Services, Container Apps Who are we looking for We are looking for Platform Engineer whose key role is to design, build, and operate enterprise-grade data platforms that enable analytics teams to deliver real business value. You will be responsible for the Azure foundation behind Business Intelligence and Data solutions — from secure networking and identity, through Infrastructure as Code, to Databricks operations and CI/CD automation. This role is ideal for someone with a strong platform/SRE mindset who enjoys building scalable cloud architectures, automating everything, and acting as a technical advisor for analytics and BI teams. What you'll do Design and operate enterprise Azure data platforms (identity, networking, storage, security).Build Infrastructure as Code with Terraform (modules, environments, Azure + Databricks providers).Create and maintain CI/CD pipelines (Azure DevOps / GitHub Actions / GitLab).Manage Databricks from platform side (clusters, jobs, secrets, repos, permissions).Implement monitoring and observability (Azure Monitor / Log Analytics).Support analytics teams by ensuring stability, performance, and security.Troubleshoot production issues and drive RCA.Automate operations using PowerShell and/or Python.Act as a platform advisor for BI and data teams. What you bring Strong admin-level experience with Microsoft Azure(Entra ID / Azure AD, RBAC, networking, ADLS Gen2, Key Vault).Commercial experience with Terraform (modular, multi-env setups).Hands-on CI/CD using Azure DevOps, GitHub Actions or GitLab.Practical platform knowledge of Databricks (clusters, jobs, governance).Platform/SRE mindset (monitoring, incidents, reliability).Scripting skills (PowerShell/Python).Experience with enterprise cloud architectures.English & Polish proficiency.Power BI background What’s in it for you Flexible working hoursRemote, hybrid or work in office – it up to you, but we’d like to meet at the office at least once a month.A dedicated Buddy to support you through onboardingPrivate health insuranceCo-funding for PZU, Medicover or LuxMed medical packagesMultisport cardAccess to training platforms (MS certificates, SQL BI, internal Delivery Excellence Workshops)Breakfasts, fruit, snacks, and always-chilled drinks in the officeAnniversary gifts and quarterly integration budgetsPaid referral program (up to PLN 8,000)„It’s good to stay with us” – PLN 2,500 voucher after 3 years with the company Recruitment process We respect your time and value transparency. That’s why our recruitment process is straightforward and designed to give you clarity at every stage: Apply - Send us your CV, and we’ll get back to you quickly.HR Interview - Up to 1 hour conversation to get to know each other better.Technical Interview - Another 1 hour to dive into your expertise and see how we can work together.Decision - No waiting in the dark - within 2 weeks, you’ll receive feedback from us.