Databricks Data Engineer

We are the Microsoft Data Platform Competence Center, leading experts in Microsoft data technologies. We have hands-on experience with all data technology trends, such as Azure Data Factory, Microsoft Fabric, Databricks, Power BI, Purview, SQL Database, Palantir, Oracle, and more. We are constantly learning new features and tuning our practices, thereby continually improving, testing, and implementing new innovations in data and AI. Our people are key to us. Our team already consists of 40 members and we operate in both the Czech Republic and Switzerland. We are looking for a Mid to Senior Data Engineer with strong Databricks knowledge to support a large financial institution in the design, optimization, and operation of big data solutions. This is a hands-on role, suitable for an experienced specialist who can work independently and take ownership of data pipelines. You will become part of a data team focused on scalable, production-ready solutions utilizing Databricks, PySpark, and Delta Lake, with an emphasis on automation, CI/CD, and DevOps / MLOps best practices. What awaits you: Design, development, and optimization of data pipelines on Databricks using PySpark and Delta Lake; Development and maintenance of robust and scalable big data solutions with an emphasis on performance and reliability; Support for automation and orchestration of data workflows using Jenkins; Applying DevOps / MLOps principles for smooth deployment and operation in a production environment; Participating in the optimization of production operations, including cost efficiency (FinOps); Working with Databricks Asset Bundles for standardization.