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Salary
$92k – $102k per year
Location
Remote (Poland)
Seniority
Senior
Visa
Sponsors visas in United Kingdom; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Margo scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Margo is a Paris-based technology engineering and AI consulting group that provides specialist consultants in data, cloud, software engineering and capital markets technology, mainly to banks, insurers and industrial clients. Founded in 2005, it has about 450 staff across Paris, London and an engineering center in Warsaw, reported turnover of 45 million euros in 2025 and runs practices such as Capital Market Technologies, Cloud Transformation and Software Engineering. It hires C#, Java and Python developers, front-office support engineers, quant developers, business analysts, data and DevOps engineers and business developers.

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.

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