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Senior Data Engineer - CR 12/11/26

Role overview

Summary

This role focuses on developing Data Products within an Azure-based Data Platform and Lakehouse architecture. You will collaborate with Product Owners and Architects to refine business requirements and ensure the reliability of data products, while also providing support for production pipelines.

Qualifications

  • Experience with Azure Data Factory and Apache Airflow.
  • Proficiency in Azure Databricks (PySpark / SQL).
  • Experience in data product development.
  • Knowledge of Medallion Architecture layers.
  • Experience in troubleshooting and resolving data incidents.

Responsibilities

  • Develop data transformations in Azure Databricks (PySpark / SQL) to create/extend data products following the Medallion Architecture layers.
  • Implement scalable, reliable and reusable data pipelines using Azure Data Factory and Apache Airflow.
  • Participate in architecture reviews and technical decision-making.
  • Provide support to the Run/Operations team for production pipelines and data products for complex topics.

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

MARGO logo

MARGO

  • IT Services & Consulting
  • Scaleup
  • 201–500
More than a simple IT consulting group, MARGO is an alchemy of talents with constantly enriched expertise, always encouraged to be dynamic and to flourish.For more than 17 years, we have been carrying out missions of the highest technical complexity, enabling the digital acceleration of our clients, while ensuring a perpetual intellectual and collective stimulation for all our talents. At MARGO it's Consultant First. By joining MARGO, your talent today will remain relevant tomorrow. We bring you into the group not only for what you are today but for the potential you wish to develop. At MARGO, you will be able to build your own path to excellence within our teams and our missions. Tailor-made to serve your ambition and to match your talent.Today, Margo has over 400 employees in 8 entities:► MARGO Trading Systems: our full stack development offer in market finance ► MARGO Capital Markets: our business offer in market finance► MARGO Analytics: our expertise in data science and data engineering► A CAPELLA Consulting: our business offer dedicated to insurance► CODE BUSTERS: our community of developers► DELIVERED by MARGO: our 100% remote full stack development entity► MARGO UK: expertise in complex coding and application support on the English market.► MARGO Poland: expertise in complex coding in retail Banking on the Polish market.

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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

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.

  •  
    Salary: 180 - 200 PLN per hour

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