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 a…
Skills: Data Modelling, Data Pipelines, SQL, Databricks, Spark
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AutoZone’s store teams are the frontline of WOW! customer service, ensuring that customers find the right parts and solutions for their automotive needs. Store employees maintain well-stocked inventory, assist customers …
Skills: Safe Driving, Customer Service, Automotive Parts Knowledge, Loading And Unloading, Communication
AutoZone’s store teams are the frontline of WOW! customer service, ensuring that customers find the right parts and solutions for their automotive needs. Store employees maintain well-stocked inventory, assist customers …
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Baker of Alma
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Entry level
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Production Team Partner - Mat Roller & Order Builder - UniFirst
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Entry level
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Full-time
bachelor degree, postgraduate degree
Posted 22d ago
~40 hrs/week
Responsibilities
Design and govern data models and pipelines to support AI and analytics use cases within the Supply Chain AI Hub. Collaborate with ICT and engineering stakeholders to ensure scalable data integration, traceability, and quality governance.
Requirements
Requires a Bachelor's or Master's degree in a technical field and at least 8 years of experience in data engineering or data platforms. Must have hands-on experience with modern platforms like Databricks or Snowflake and previous experience in Supply Chain.
Full job description
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
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
Qualifications
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
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
Offices: Amsterdam, NL
AutomotiveMobilityand TechMachinery ManufacturingIndustrial ManufacturingTransportationRetailAutomotiveIndustrialVenture Capital
Based on 609 listings with disclosed salaries, most logistics jobs in Michigan pay between $55k–$141k per year. Individual offers vary with seniority, company size, and specialization.
How many Logistics jobs are open in Michigan right now?
There are currently 8,605 open logistics positions in Michigan listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Logistics roles in Michigan?
Companies currently hiring include Domino's, Meijer, Tractor Supply Company, Lowe's Companies, Inc., SpartanNash, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Logistics jobs in Michigan?
Yes — 386 of the 8605 open logistics positions offer remote or hybrid work (87 remote, 299 hybrid).
How do I apply for Logistics jobs in Michigan?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.