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Data Engineer at Madiff Polska, Remote (Global)

  • Full Time
  • Mid-level
  • Remote
  • Remote

Website Madiff Polska

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NOTE: Here is why some companies may not hire you.

Data Engineer at Madiff Polska, Remote (Global)

We are seeking a Data Engineer to join a cross-functional delivery team working on the development of data lakes, analytical platforms, and real-time streaming solutions using modern Azure technologies. This role offers the opportunity to work in an Agile environment with direct access to product and business owners, shaping high-impact data products from concept to deployment.

Main Responsibilities

  • Design, build, and monitor ETL pipelines using Azure and Spark technologies
  • Implement scalable, cloud-native data processing workflows using PySpark
  • Configure and operate core Azure services: Databricks, Azure Data Factory, Azure Data Lake Storage, and Azure Functions
  • Collaborate closely with analysts, data scientists, and software engineers to deliver robust data solutions
  • Translate business needs into reliable and secure data products
  • Ensure data quality, governance, and performance best practices across solutions

Requirements

  • At least 4 years of professional experience in data engineering
  • Proven experience with large-scale data processing and transformation pipelines
  • Hands-on knowledge of Azure or other major cloud platforms
  • Solid coding skills in Python (especially pandas/numpy) and SQL
  • Familiarity with Git workflows in a collaborative development setting
  • Fluency in Polish and English (C1 minimum level in English required)

Nice to Have

  • Experience with Linux/Bash scripting
  • Familiarity with Docker or Kubernetes
  • Domain experience in retail, financial services, energy, or the public sector

Benefits

  • Solid, competitive salary.
  • Work in multilingual, multinational and multicultural environment on international projects
  • Medical care

To apply for this job please visit madiffpl.zohorecruit.com.

Data Engineer at Madiff Polska, Remote (Global)
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