ArcelorMittal France, within the Digital Transformation Directorate, is seeking a Data Engineer based at the Dunkirk site or Florange. The role identifies high-impact Data use cases for the business and leads multidisciplinary, multi-site and intercultural Data, IT/OT and business teams around common objectives. Key responsibilities include: defining the Data strategy aligned with business and technology priorities; organizing data collection, governance, provisioning, visualization and analysis; prioritizing Data requests and ensuring secure, reliable and relevant data access for the business; ensuring end-to-end coherence and performance of data delivery pipelines. Evolving data management and future ambitions: proposing and steering strategies for data evolution (Data catalog, Data lineage, etc.); anticipating future needs including advanced AI and analytics; contributing to debt reduction and modernization (decommissioning old systems for centralization on a Big Data cluster); integrating cybersecurity recommendations and implementing necessary evolutions to remain compliant; leveraging internal expertise and conducting benchmarks within the Group or with other industrial groups to identify and deploy best practices. Supporting and enhancing business maturity: assisting departments in expressing and structuring their Data needs; advancing Data and analytical maturity; developing Data skills within business teams to enable autonomous and sustainable value generation. Data, Analytics and Visualization projects: supporting all projects requiring data provisioning, analytic

ArcelorMittal France, within the Digital Transformation Directorate, is seeking a Data Engineer based at the Dunkirk site or Florange. The role identifies high-impact Data use cases for the business and leads multidisciplinary, multi-site and intercultural Data, IT/OT and business teams around common objectives. Key responsibilities include: defining the Data strategy aligned with business and technology priorities; organizing data collection, governance, provisioning, visualization and analysis; prioritizing Data requests and ensuring secure, reliable and relevant data access for the business; ensuring end-to-end coherence and performance of data delivery pipelines. Evolving data management and future ambitions: proposing and steering strategies for data evolution (Data catalog, Data lineage, etc.); anticipating future needs including advanced AI and analytics; contributing to debt reduction and modernization (decommissioning old systems for centralization on a Big Data cluster); integrating cybersecurity recommendations and implementing necessary evolutions to remain compliant; leveraging internal expertise and conducting benchmarks within the Group or with other industrial groups to identify and deploy best practices. Supporting and enhancing business maturity: assisting departments in expressing and structuring their Data needs; advancing Data and analytical maturity; developing Data skills within business teams to enable autonomous and sustainable value generation. Data, Analytics and Visualization projects: supporting all projects requiring data provisioning, analytic