Data Engineer, Automation & Controls, BlueOval Battery Park Michigan

What You'll Do...

• Ensure adherence and compliance to the Ford Production System (FPS) Key Unifying Processes (KUP)
• Understand and consistently apply standard manufacturing operating systems and principles
• Enforce compliance with Safety Operating System practices to achieve zero injuries
• Ensure compliance with Quality Operating System practices to achieve zero defects
• Data Pipeline Development
• Develop Workflows to automate repetitive data tasks
• Connect enterprise applications, SaaS platforms, and manufacturing or operational systems using APIs, event-driven messaging, and orchestration workflows
• Perform data profiling, mapping, and modeling to ensure accuracy, consistency, and compliance with governance standards
• Identify and implement Controls Best Practice; launch Enablers, Training, and Change Control, etc.
• Liaison with IT on IT / Controls interface issues
• Drawing approvals and updates, Hydraulic, Pneumatic, Electrical
• Maintain Monitoring use of Structured software specification, organize training for OEM's where required
• Issue resolution during machine build, installation, and steady state production
• Troubleshoot and resolve production-related downtime (i.e. PLC programs, HMI Screens, etc.)
• Setup and maintenance of industrial bar code scanners and printers
• Run-off equipment per Ford specifications at supplier and plant to validate capability and robustness including safety
• Ensure production systems meet objectives through Process Design and FMEAs
• Work with plant and Manufacturing Engineering personnel with appropriate timing and installation documentation, to ensure efficient/timely installation and validation
• The identification and capture of lessons learned along with their application to new programs, as well as the impact to existing strategies and standards
• Troubleshoot PLC, robot, and other automation problems
• Update program backups for automation
• Program new installations of vision, fastening, dispense, leak test, electrical test, gantry and conveyor systems
• Reprogram automation for engineering changes and improvements

Requirements

• Bachelor's degree
• 4+ years data engineering experience
• 2+ years data visualization (reports, dashboards) experience
• 2+ years’ Experience using Python, SQL, C++, Java, or similar platform for automation and data processing
• Even better, you may have… Master’s degree, engineering or computer science
• Experience Programming PLC’s
• Power Bi Expertise
• Fundamental Working Knowledge of Industrial Electronics, PLC Logic, and Controls
• Knowledge of Mfg. 4.0 (Industry 4.0) key principles – Data Collection, AI/ML, IIOT, Digital Twin
• Knowledge of data structures and algorithms