Senior Azure Databricks Engineer

Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our client's growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time. Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma. We are looking for a highly technical Senior Databricks Engineer to take ownership of optimizing and productionizing Databricks workloads created by data scientists. You will work independently, focusing on Spark performance tuning, data partitioning, CI/CD automation, and MLOps design, ensuring that ML pipelines are robust, scalable, and production-ready.About the ClientOur client is one of the largest financial institutions in Central and Eastern Europe. Their data & ML platform is built on Azure Databricks, and they are looking for an expert who can bring their ML workloads to the next level in terms of performance, reliability, and operational excellence.What you will doOptimize and productionize Databricks notebooks and jobs developed by data scientistsTune Spark performance (cluster configuration, caching, data partitioning, shuffle optimization)Design and implement MLOps frameworks for model training, deployment, and monitoringSet up and maintain CI/CD pipelines for Databricks using Jenkins or Azure DevOpsWork with Databricks Asset Bundles to manage code, configs, and deploymentsConfigure and fine-tune clusters, jobs, and workflows for cost and performance efficiencyIntegrate with Azure services: ADLS, Key Vault, AAD, and othersOwn technical delivery, progress tracking, and quality – working largely independently, with a strong focus on executionRequirement:Strong hands-on experience with Azure Databricks (DBX): clusters, jobs, notebooks, asset bundlesDeep knowledge of Apache Spark: performance tuning, data partitioning, optimization strategiesExperience designing and implementing MLOps frameworks in a production environmentProven experience with CI/CD automation (Jenkins and/or Azure DevOps pipelines)Familiarity with Azure cloud components: ADLS, Key Vault, AADSolid Python skills for Databricks notebooksExperience with Git and branching strategies for data/ML projectsStrong ownership mindset: ability to work independently, drive delivery, and communicate progress clearlyFluent English (spoken and written)Nice to have:Terraform for infrastructure-as-code on AzureExperience in the financial services domainIf you enjoy deep technical work, love making Spark workloads fly, and want to have a visible impact on a large-scale financial data platform, this role is for you.  Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages:Recruiting Interview -> 30-45 minTechnical Interview -> 1-1,5hClient Interview (optional) -> up to 1hPre-Offer Call -> 15minReference CheckOfferWe offer:Competitive salary, room for development and growth.Possibility to work in the Bratislava and Kyiv offices or fully remotely.Loyal management, interesting tasks, constant support.Medical insurance (optional).English courses.Technical equipment providing.Paid vacations 20 workdays, paid sick leave, regular salary reviews;Flexible schedule and ability to manage your working hours;Support your personal growth and skills upgrading.The great environment inside the team, support of initiatives, and ability to contribute to the common goal.We do believe that the success of  is impossible without the success of our Talents and the success of our Clients