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Senior Data Engineer

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  • Contact:

    Ludovic Dartois

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  • Published:

    14 days ago

  • Duration:

    12 months

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General Description

This role is crucial in building and maintaining data analytics solutions for a large, complex organization. You'll be part of a central data team responsible for supporting multiple business lines. Working within an agile scrum environment, you'll collaborate with other developers, data analysts, and project leads.

As a Senior Data engineer, you will also mentor team members on technical aspects and work closely with the Data Architect.


  • Translate business and technical requirements into detailed specifications for data analytics solutions (data warehouses, data marts).
  • Design, develop, deploy, and maintain BI solutions using industry best practices and adhering to functional and non-functional requirements.
  • Guide the scrum team on development and architectural standards.
  • Oversee releases and provide technical support for any issues.
  • Collaborate closely with the Data Architect.
  • Test solutions, troubleshoot issues, provide ongoing maintenance, and create clear technical documentation.
  • Build engaging visualizations and reports using tools like Power BI and SSRS.
  • Conduct prototype reviews, demos, and data model training for business users.
  • Partner with the Project Leader to ensure project delivery in an agile and effective manner.

Key Skills:

  • 5+ years of experience as a BI Developer, specializing in the Microsoft BI stack (Visual Studio, SSIS, SSAS, SSMS).
  • Proven ability to translate business needs into technical requirements.
  • Strong experience in data modeling (logical and physical).
  • Expertise in data warehouse design (Kimball dimensional modeling).
  • Deep knowledge of Microsoft SQL Server from a development perspective.
  • Mastery of SQL queries, T-SQL, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).


  • Analytical mindset with exceptional problem-solving abilities.
  • Strong technical skills and a passion for data.
  • Proactive and results-oriented.
  • Excellent communication and collaboration skills.
  • Ability to translate business needs into technical solutions.
  • Agile and adaptable, with a focus on delivery.
  • Team player with a collaborative spirit.
  • Perseverance, resilience, and flexibility.
  • Eager to learn and open-minded.

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