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Data Engineer - Databricks & PySpark
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Data

Data Engineer - Databricks & PySpark

Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Hybrid

Tech stack

    English

    B2

    PySpark

    regular

    Databricks

    regular

Job description

Online interview

Work model: Hybrid from Wrocław (frequency of office presence to be discussed)

Contract duration: 36 months with possible extensions

Location: Wrocław (hybrid – flexible office presence)

Working hours: CET

Contract type: B2B via Experis


About the Project

Join a dynamic team supporting internal users and business processes. The team collaborates with dealers to monitor sales, support invoicing processes, and track CO₂ emissions from combustion vehicles, as well as the development of electric trucks. The team is based in Lyon, France.


Your Responsibilities

  • Develop and maintain data-driven applications using Databricks and PySpark
  • Troubleshoot data quality and system maintenance issues
  • Collaborate with Business Analysts, Data Engineers, Architects, QA, and DPO
  • Support internal users and ensure smooth operation of business processes
  • Work in a cloud-based environment (Azure)


Requirements

  • 3–5+ years of experience as a Data Engineer
  • Strong hands-on experience with Databricks and PySpark
  • Proficiency in cloud platforms – preferably Azure
  • Solid knowledge of databases such as SQL Server or Netezza
  • Experience with at least 3 of the following technologies:
  • Azure Data Factory, Azure Synapse, Azure SQL Database, Power BI, Spark, Python, MongoDB, Azure Functions
  • Master’s degree in Computer Science, Data Engineering, or a related field
  • Fluent in English (spoken and written)
  • Team player with a collaborative mindset
  • Self-driven, detail-oriented, and adaptable in a fast-paced environment


What We Offer

  • B2B contract via Experis
  • Private medical care (Medicover)
  • Multisport card
  • Access to an e-learning platform
  • Group life insurance
Undisclosed Salary

B2B