Data Engineer - Supply Chain

We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. The Data Engineer plays a critical role in enabling this vision by designing, building, and operating enterprise-grade data pipelines and analytical data products that power advanced analytics, optimization, automation, and agentic AI solutions across the Supply Chain organization.This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows.Responsibilities include but not limited to: Design, build, and maintain scalable batch and near-real-time data pipelines supporting supply chain analytics and AI use casesIngest, transform, and curate data from enterprise and operational systems (ERP, planning, logistics, manufacturing, execution platforms)Develop and maintain analytical data models and feature-ready datasets to support data science, optimization, and agentic AI workflowsImplement data quality validation, monitoring, and alerting to ensure trust and reliability of downstream analyticsOptimize data pipelines and storage for performance, cost, and scalabilityPartner with data scientists and AI engineers to support model training, scoring, and deployment needsEstablish and follow best practices for data modeling, naming conventions, version control, and documentationEnsure data solutions comply with enterprise standards for security, privacy, lineage, and governanceSupport production operations, including incident investigation and root cause analysis related to data issuesBasic Qualifications: Bachelor’s in Computer Science, Information Systems, or a related field required8+ years of professional experience in data engineering, analytics engineering, or data platform developmentStrong proficiency in Python and SQL for data transformation and pipeline developmentExperience designing and maintaining production-grade data pipelines and analytical data modelsHands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalentSolid understanding of data quality, validation, and monitoring conceptsExperience working with structured and semi-structured data at scaleProven ability to own production data pipelines end-to-end (design deployment monitoring incident response)Demonstrated ability to operate independently, drive technical decisions, and deliver solutions in ambiguous environments with minimal oversightAbility to collaborate effectively with analytics, AI, and software engineering teamsPreferred Qualifications: Master’s DegreeExperience supporting machine learning or advanced analytics pipelines, including feature engineering and model scoring dataExperience with orchestration tools, CI/CD, and version control for data pipelinesFamiliarity with streaming or event-driven data architecturesExperience working with supply chain, operations, manufacturing, or ERP dataKnowledge of data governance, metadata management, and lineage toolsExperience supporting BI or downstream analytics tools (e.g., Power BI) and enterprise data platforms (e.g. Palantir Foundry)Brand: FCA GroupJob ID: 2016872Employment Type: Full-timeJob Area: Supply ChainPosted Date: 16/04/2026