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Data Integration Engineer - Lille - Freelance (M/F)

Collective.workNordEURESpublished 09/12/2026
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Must-have:GitAzureDevOpsDataCI/CD
Machine translation — original language: French.Show original

Daily Rate (TJM): This will be a decisive criterion

JOB CONTEXT

As part of the evolution and industrialization of a Data platform, the Data Integration Engineer works within the technical team to design, develop, and evolve data integration and distribution flows.

They are responsible for the design and development of ETL/ELT pipelines, as well as APIs and connectors that allow data to be exposed and distributed to the various consumer tools within the ecosystem.

The position involves close collaboration with Data, technical, and business teams, as well as contributing to architectural evolutions and various projects on the technical roadmap.

MAIN MISSIONS

  1. DEVELOPMENT OF DATA INTEGRATION FLOWS
  • Design, develop, and maintain ETL/ELT pipelines.
  • Specifically work on Azure Synapse and Azure Data Factory, with a possible opening towards Microsoft Fabric and Databricks.
  • Guarantee the reliability, performance, and traceability of flows.
  • Ensure data exchanges between source systems and the Data platform.
  1. API AND CONNECTOR DEVELOPMENT
  • Design and develop APIs and connectors.
  • Enable the exposure and distribution of data to the various tools in the ecosystem.
  • Interface the platform with BI solutions, business applications, and third-party tools.
  • Respect the standards and architectural principles defined within the Data team.
  1. CONTRIBUTION TO THE TECHNICAL ROADMAP
  • Participate in various technical projects for the evolution of the Data platform.
  • Contribute to the evolution of the architecture.
  • Participate in the industrialization of flows.
  • Work on migration projects or the integration of new technological components.
  • Collaborate with project and architecture teams to ensure the delivery of evolutions.
  1. QUALITY, RELIABILITY, AND DOCUMENTATION
  • Implement quality and consistency controls on the developed flows.
  • Guarantee the reliability of processing and data.
  • Document transformation rules and technical specifications.
  • Apply development and code management best practices.
  • Use Git and contribute to DevOps / CI-CD practices.
  1. COLLABORATION WITH DATA AND BUSINESS TEAMS
  • Work in collaboration with Data Engineers and various Data teams.
  • Understand and analyze integration needs.
  • Identify and report technical constraints.
  • Challenge proposed solutions and contribute to finding suitable solutions.
  • Facilitate knowledge transfer and technical documentation.

REQUIRED TECHNICAL SKILLS

  • Azure Synapse
  • Azure Data Factory
  • ETL / ELT flow design
  • Git
  • DevOps / CI-CD practices
  • .NET
  • Mastery of a programming language
  • Use of a development framework
  • API and connector development
  • Data Platform architecture
  • Data modeling, specifically the medallion approach, is appreciated
  • Use of AI tools in daily development

REQUIRED PROFILE

  • Higher education in computer science, ideally a Master's degree / engineering degree.
  • Minimum 5 years of experience in Data topics.
  • Significant experience in developing data integration pipelines.
  • Good ability to evolve in a technical environment and work in a team.
  • Autonomy, rigor, and a sense of documentation.
  • Ability to communicate and transfer knowledge.
  • Professional English.

PERSONAL QUALITIES

  • Autonomy and ability to take...