PySpark Data Engineer

• Design, build and optimize scalable data pipelines using Python & PySpark • Work with modern data platforms (Palantir Foundry / Databricks / similar) • Integrate data from finance and insurance source systems • Support data delivery for analytics and reporting solutions (e.g. Power BI) • Ensure data quality, reliability and performance of pipelines • Collaborate with Business, Analytics and Engineering teams • Support deployment, monitoring and production operations

• Budget for personal development (courses, conferences, certifications) • Opportunity to work remotely on international projects • Work from the comfort of your home or from our new design office • We value our time – no overtime • Access to our company library for inspiration • Attractive mobile plan, Multisport card, and fuel card • Barbecues on the terrace and plenty of other team events

We are the Microsoft Data Platform Competence Center – leading experts in Microsoft data technologies. Our team has hands-on experience with the full spectrum of modern data solutions including Azure Data Factory, Synapse Analytics, Microsoft Fabric, Power BI, Purview, Azure SQL Database, Databricks, Palantir, and more. We constantly learn, experiment, and refine our engineering practices, implementing new innovations across the data ecosystem. Our team has grown to 40 specialists operating in both the Czech Republic and Switzerland. What you will do as a PySpark Data Engineer • Design, build and optimize scalable data pipelines using Python & PySpark • Work with modern data platforms (Palantir Foundry / Databricks / similar) • Integrate data from finance and insurance source systems • Support data delivery for analytics and reporting solutions (e.g. Power BI) • Ensure data quality, reliability and performance of pipelines • Collaborate with Business, Analytics and Engineering teams • Support deployment, monitoring and production operations What we expect • Strong experience in Python & PySpark • Experience with Spark-based data platforms (Palantir Foundry is a big plus) • Solid experience in data engineering and building ETL/ELT pipelines • Strong knowledge of SQL and large-scale data processing • Experience from financial services (insurance is preferred) • Experience with Git and CI/CD pipelines • Good communication skills in English What we offer you • Budget for personal development (courses, conferences, certifications) • Opportunity to work remotely on international projects • Work from the comfort of your home or from our new design office • We value our time – no overtime • Access to our company library for inspiration • Attractive mobile plan, Multisport card, and fuel card • Barbecues on the terrace and plenty of other team events Originally posted on Himalayas Data-Engineering, Data-Engineer, Big-Data, ETL-Developer, PySpark-Developer, Data-Pipeline-Engineer, Analytics-Engineering, Python-Data-Engineer, Databricks-Data-Engineer, Senior-Databricks-Engineer, Databricks-Engineer, Apache-Spark-Developer, Spark-Engineer