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Why this grade This listing scored 45/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
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
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 14 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.