Margo GroupLast verified: 2026-11-15Margo Group's
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Senior Data Engineer - CR 12/11/26

Full-timezł180–200 / hrEuropePoland

Margo Group is hiring for a full-time remote role: Senior Data Engineer - CR 12/11/26. Pay: zł180–200 / hr.

Who can apply: Candidates based in Poland.

Posted Nov 12, 2026 · still open as of Nov 15, 2026 · apply on Margo Group's own careers page.

About Margo Group

Déployez votre stratégie avec MARGO (FR, UK, PL). Nos experts Data, IA & Digital pilotent vos projets technologiques les plus complexes.

Job Description

We are looking for a Senior Data Engineer to help drive the evolution of our Azure-based Data Platform and Lakehouse architecture.

This role is focused on Data Products development. The successful candidate will build pipelines in ADF, DAGs in Airflow and work closely with POs to refine business requirements and transform business needs into reliable Data Products in Databricks.

Key Responsibilites

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Hands-on Data Product development

  • Implement scalable, reliable and reusable data pipelines using Azure Data Factory and Apache Airflow.
  • Develop data transformations in Azure Databricks (PySpark / SQL) to create/extend data products following the Medallion Architecture layers:
  • Bronze (raw ingestion)
  • Silver (cleansed & conformed)
  • Gold (business-ready data products)
  • Optimize performance, cost, and reliability of data workloads.
  • Raise important questions during business maturation in order to detect risks before development stage.

Technical Leadership

  • Participate in architecture reviews and technical decision-making.
  • Promote engineering excellence through code reviews and design reviews.
  • Collaborate with Architects, Product Owners in data product technical maturation.

Support & Operations (Run Team Collaboration)

  • Provide support to the Run/Operations team for production pipelines and data products for complex topics.
  • Troubleshoot and resolve data incidents, failures, and performance issues
  • Participate in incident management, root cause analysis, and post-mortems.
  • Ensure proper handover, documentation, and operational readiness of developed solutions.
  • Contribute to improving runbooks, monitoring, and operational processes.
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