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Data Engineer

Data Engineer

MEDICOVER INTEGRATED CLINICAL SERVICES sp. z o.o.Gdańsk, Pomeranian, Poland
25 days ago
Job description

technologies-expected :

  • Azure
  • Python
  • Microsoft Power BI

about-project :

  • Become part of the international Data & Reporting Department Core Team in the Medicover Diagnostics Division—a global organization that is expanding its data capabilities to deliver critical solutions for Finance, ERP, Sales, Marketing, and eCommerce.
  • responsibilities :

  • Design and maintain ETL / ELT processes using Azure services (Azure Data Factory, Azure Databricks, Azure Synapse, Azure Storage).
  • Integrate, consolidate, and transform data from Finance, ERP, Sales, Marketing, eCommerce, creating scalable and reliable solutions (Data Lake / Lakehouse).
  • Ensure data quality, performance, and security throughout the data lifecycle.
  • Shape and expand our data platform – main hub for master data, reporting and advanced analytics
  • Collaborate closely with analytics experts across the division to provide the necessary infrastructure and data sets for reporting and advanced analytics.
  • Participate in the ongoing optimization of data workflows and contribute to the overall data strategy.
  • requirements-expected :

  • 1–3 years of experience in a Data Engineering role.
  • Hands-on experience with Azure data services, such as Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Storage.
  • Proficiency in SQL and at least one programming language (Python, Scala, etc.).
  • Familiarity with Power BI or other BI tools is an advantage (collaboration with data analysts).
  • Experience in working with data from Finance, ERP, Sales & Marketing / eCommerce is a plus).
  • Excellent business English and Polish (C1) are mandatory; German language skills would be a plus.
  • A strong team player mindset with excellent communication and problem-solving skills.
  • offered :

  • Stable employment in an international organization with a strong market presence.
  • Competitive salary and a comprehensive benefits package.
  • Flexible work options (remote or hybrid) tailored to your needs.
  • A chance to significantly shape and innovate the company’s data environment and strategy.
  • A collaborative atmosphere that encourages professional growth and knowledge exchange.
  • benefits :

  • sharing the costs of sports activities
  • private medical care
  • life insurance
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    Data Engineer • Gdańsk, Pomeranian, Poland

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