Description review
PySpark Data Engineer
Joyful Craftsmen AG · Czechia, Switzerland · back to the listing
HR standards
56/100
needs work
Title ↔ description
89/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
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What the listing never says
- 21 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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