Your Missions:

Data Modelling, Pipelines & Reuse:

Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use casesPromote maintainable structures, reusable components and clear lineage across transformations where relevantSupport delivery teams with practical data-engineering discipline rather than one-off technical builds

Platform, Integration & Traceability:

Clarify selected source-to-platform pathways, integration dependencies and technical constraints affecting deliveryHelp maintain visibility on traceability, handoffs and access conditions across Supply ChainWork with ICT and engineering stakeholders to keep the build path practical and scalable

Data Quality, Certification & Governance Support:

Contribute to selected quality checks, certification routines, governance expectations or compliance-related traceability needs depending on the scope assignedHelp surface structural data issues, documentation gaps or control weaknesses that affect deployment readinessSupport a trusted delivery environment by making data assets more visible, understandable and supportable

Your Profile:

Skills You'll Grow:

Broader exposure across the different building blocks that make AI-ready data operational at scaleExperience working at the intersection of data engineering, integration, quality and delivery governanceOpportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agendaWhy Join /

Impact:

Work on data-engineering challenges directly tied to real AI deployment in Supply ChainJoin a role broad enough to offer variety, while still allowing focused ownership on a defined perimeterHelp strengthen the data foundations that make scalable AI delivery possible

Basic Qualifications:

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field8 years of experience in data engineering or data platformsPrevious Supply Chain experienceHands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalentExperience with data pipelines, integration, semantic, lineage, architecture and platform environmentsEnterprise-scale data transformation and delivery experienceAbility to collaborate effectively with analytics, AI, and software engineering teamsAbout the RoleJoin the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality routines and traceability, and pioneer more robust data-engineering practices that make solutions easier to trust, operate and industrialize.

Your Missions:

Data Modelling, Pipelines & Reuse:

Platform, Integration & Traceability:

Data Quality, Certification & Governance Support:

Your Profile:

Strong data-engineering experience in modern enterprise environments, with depth in some combination of data modelling, pipelines, integration, quality, lineage or governance-related topicsAble to operate across business needs, technical constraints and delivery realitiesStrong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environmentsComfortable working with multiple stakeholders across architecture, data, engineering and governance topicsStructured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scopeSkills You'll... For full info follow application link. 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Senior Data Engineer