PySpark Data Engineer

Reposted 3 Days Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
Mid level
Information Technology • Consulting
Envision. Build. Operate.
The Role
As a PySpark Data Engineer, you'll design and optimize data pipelines using Python and PySpark, supporting analytics and ensuring data quality across a range of modern data platforms.
Summary Generated by Built In

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

Skills Required

  • Strong experience in Python & PySpark
  • Experience with Spark-based data platforms, preferably Palantir Foundry
  • 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
Am I A Good Fit?
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The Company
HQ: Praha, Hlavní město Praha
45 Employees
Year Founded: 2013

What We Do

For over 10 years, Joyful Craftsmen has been a trusted partner globally, empowering organizations to unlock the full potential of their data. Known for our technological expertise, while primarily serving clients across Europe, we are equipped to collaborate with companies worldwide through remote solutions, helping businesses turn data into a strategic asset. We specialize in delivering tailored solutions in the following areas: ➜Data & AI Strategy: Aligning data initiatives with your business objectives. ➜Artificial Intelligence: Providing predictive and prescriptive insights to drive innovation. ➜Business Intelligence: Offering dynamic, real-time tools for effective decision-making. ➜Data Platform: Building robust and scalable data infrastructures. ➜Data Governance & Management: Ensuring high-quality, compliant, and secure data practices. ➜Data Security: Protecting your data with top-tier security solutions.

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