About the Role
Join 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:
Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use cases
Promote maintainable structures, reusable components and clear lineage across transformations where relevant
Support 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 delivery
Help maintain visibility on traceability, handoffs and access conditions across Supply Chain
Work 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 assigned
Help surface structural data issues, documentation gaps or control weaknesses that affect deployment readiness
Support a trusted delivery environment by making data assets more visible, understandable and supportable
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 topics
Able to operate across business needs, technical constraints and delivery realities
Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments
Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics
Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope
Skills You'll Grow:
Broader exposure across the different building blocks that make AI-ready data operational at scale
Experience working at the intersection of data engineering, integration, quality and delivery governance
Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agenda
Why Join / Impact:
Work on data-engineering challenges directly tied to real AI deployment in Supply Chain
Join a role broad enough to offer variety, while still allowing focused ownership on a defined perimeter
Help 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 field
8 years of experience in data engineering or data platforms
Previous Supply Chain experience
Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
Experience with data pipelines, integration, semantic, lineage, architecture and platform environments
Enterprise-scale data transformation and delivery experience
Ability to collaborate effectively with analytics, AI, and software engineering teams
About the Role
Join 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:
Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use cases
Promote maintainable structures, reusable components and clear lineage across transformations where relevant
Support 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 delivery
Help maintain visibility on traceability, handoffs and access conditions across Supply Chain
Work 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 assigned
Help surface structural data issues, documentation gaps or control weaknesses that affect deployment readiness
Support a trusted delivery environment by making data assets more visible, understandable and supportable
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 topics
Able to operate across business needs, technical constraints and delivery realities
Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments
Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics
Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope
Skills You'll... For full info follow application link.
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
