Senior Data Engineer

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