Senior MES Data Engineer - Smart Factory

Position Summary

In This Role, Your Responsibilities Will Be:

Data Engineering & Integration

• Design, develop, test, deploy, and support batch and near real-time data pipelines integrating DELMIA Apriso, ERP, warehouse, quality, test, automation, equipment, and enterprise systems.
• Develop and maintain scalable manufacturing data models that support production execution, traceability, material movement, quality management, equipment performance, labor tracking, scheduling, downtime analysis, and operational reporting.
• Translate manufacturing and analytics requirements into efficient data ingestion, transformation, storage, and consumption solutions using SQL, APIs, event-driven architectures, middleware, and enterprise integration technologies.
• Define and maintain interface specifications, data mappings, lineage documentation, and reconciliation processes across MES and connected business systems.

Data Quality, Reliability & Support

• Implement data quality frameworks, monitoring, validation, reconciliation, alerting, and recovery processes to ensure data accuracy, completeness, timeliness, and traceability.
• Analyze and resolve complex integration, data, and system issues through structured root-cause analysis and corrective actions.
• Support manufacturing operations by troubleshooting data pipelines, interfaces, and integration services to maintain system reliability and performance.

Solution Delivery & Governance

• Lead technical activities related to solution development, integration testing, deployment, cutover planning, and post-implementation support.
• Apply software engineering best practices including version control, code reviews, automated testing, CI/CD, release management, and change control.
• Ensure compliance with enterprise standards for security, access management, data governance, retention, and regulatory requirements.

Stakeholder Collaboration

• Partner with manufacturing sites, analytics teams, IT organizations, engineering teams, implementation partners, and software vendors to deliver business-driven data solutions.
• Collaborate effectively across global teams and time zones to support deployments, issue resolution, and continuous improvement initiatives.

Documentation & Knowledge Sharing

• Maintain architecture diagrams, data models, interface documentation, lineage records, operational procedures, and support playbooks.
• Share technical expertise and provide guidance on data integration, manufacturing data management, and data quality best practices.

Who You Are

For This Role, You Will Need:

• Bachelor's degree in Engineering, Computer Science, Information Systems, Data Engineering, Software Engineering, Automation, Manufacturing Technology, or a related technical discipline.
• 5+ years of experience in data engineering, manufacturing systems, MES/MOM environments, systems integration, industrial software, manufacturing IT/OT, or digital manufacturing.
• Experience designing, developing, implementing, and supporting enterprise data solutions and system integrations.
• Strong understanding of manufacturing data domains including production, quality, traceability, equipment connectivity, and operational reporting.
• Solid knowledge of SQL, relational databases, APIs, integration frameworks, and end-to-end data architectures.
• Experience translating business requirements into scalable technical solutions and supporting testing, deployment, and operational support activities.
• Strong analytical, troubleshooting, and root-cause problem-solving capabilities.
• Excellent communication and collaboration skills with the ability to work effectively across global and cross-functional teams.
• Ability to work independently while influencing solution decisions through technical expertise.

Preferred Qualifications That Set You Apart:

• Experience with MES/MOM platforms, manufacturing data solutions, or industrial data ecosystems; DELMIA Apriso experience is highly preferred.
• Experience building and supporting data pipelines, APIs, middleware solutions, ETL/ELT processes, and event-driven integrations.
• Working knowledge of Python, PowerShell, Spark, or related technologies used for data engineering and automation.
• Experience with database design, data modeling, data quality frameworks, monitoring solutions, and version control tools.
• Familiarity with Agile, Scrum, DevOps, ITIL, Lean, Six Sigma, or structured problem-solving methodologies.
• Knowledge of cybersecurity, data governance, and secure data management practices within manufacturing environments.
• Experience supporting multi-site manufacturing deployments, system validation, cutover activities, and post-go-live support.
• Experience collaborating with global manufacturing organizations, implementation partners, and software vendors across multiple regions and time zones.

Our Culture and Commitment To You

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