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Data Engineer (Azure / Databricks / Spark)
SQUARE ONE RESOURCES sp. z o.o.Globalnie
Rodzaj zatrudnieniaPełny etat
DoświadczenieMid / Regular
Dodano20 lipca 2026
Wykryte przez nas21 lipca 2026
Zarobki140 - 155 PLN
Expected, Databricks, Python, SQL, ETL, Big Data, Spark, Azure Data Factory (ADF), Microsoft Azure
About the project, The project focuses on the development of a Predictive Maintenance system for jet engines. We are looking for experienced Data Engineers who will work on processing large-scale datasets using Big Data technologies., , The project is planned for 3 months, full-time, and fully remote. The candidate will work using equipment provided by the client., , Experience with projects based on Databricks and Apache Spark is highly preferred.
This is how we work, at the client's site
Your responsibilities, Develop and maintain ETL/ELT data pipelines., Process and transform large datasets using Databricks and Apache Spark., Build data solutions in Azure environment., Develop data processing logic using Python and SQL., Optimize data workflows and ensure data quality., Collaborate with Data Science and BI teams., Support the development of a Predictive Maintenance system.
Good knowledge of SQL, Experience in Python development, General understanding of Big Data processing standards and tools, Experience with the Spark platform, Experience with Databricks, Experience with Data Processing and Storage services of Azure cloud is preferable
What we offer, 100% remote, Full-time job, Laptop and required equipment provided by the client, Medicover, Medicover Sport, Start ASAP
Benefits, sharing the costs of sports activities, private medical care
SQUARE ONE RESOURCES sp. z o.o., At Square One Poland we link IT experts with the business. With over 25 years of experience, we specialize in recruitment processes on a global scale. Despite years of experience, we still have a startup DNA and this is our advantage. Our offices are located in London and Warsaw, however, we can reach clients from all over the world, from start-ups to big worldwide corporations.
This is how we work,
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