PySpark Data Engineer

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