Data Engineer, Automation & Controls
Core
Building data pipelines and automating tasks to connect enterprise applications, SaaS platforms, and manufacturing systems while ensuring compliance with Ford Production System processes.
Role type
Senior Data Engineer (Automation & Controls)
Builds
Data pipelines, automated workflows, and integration between IT systems and manufacturing equipment.
Domain
Automotive manufacturing / Industrial automation / Manufacturing 4.0
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline development, API integration, event-driven messaging, data profiling, PLC programming, Python, SQL, C++, Java, industrial electronics, controls architecture, networking, data structures, algorithms, hydraulic/pneumatic/electrical system management, production troubleshooting, PLC/HMI troubleshooting, automation system programming, vision/fastening/dispense/leak test system programming.
Preferred skills
Master's degree in engineering or computer science, Power BI expertise, Manufacturing 4.0 principles (AI/ML, IIOT, digital twins), PLC logic knowledge.
Technologies
AI Hardware, Java, PLC, Power BI, Python, SQL
Responsibilities
Develop data pipelines and automate repetitive data tasks; Connect enterprise applications, SaaS platforms, and manufacturing systems through APIs and orchestration workflows; Perform data profiling, mapping, and modeling; Liaise with IT on controls and interface issues; Manage drawing approvals for hydraulic, pneumatic, and electrical systems; Troubleshoot and fix production downtime related to PLC programs, HMI screens, and automation systems; Program new installations for vision, fastening, dispense, leak test, electrical test, gantry, and conveyor systems; Reprogram automation to support engineering changes; Collaborate with plant and manufacturing engineering teams on documentation and validation.
Seniority
Senior, hands-on IC