Senior MES Data Engineer (Smart Factory)

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Software Engineering · DevOps

In short

The MES Data Engineer is crucial for Emerson's Smart Factory strategy, creating a data ecosystem to transform manufacturing events into actionable insights. This role involves integrating MES, enterprise applications, and equipment to build scalable data solutions and ensure data integrity for improved performance and predictive analytics.

Responsibilities

Design, develop, test, deploy, and support data pipelines integrating DELMIA Apriso, ERP, warehouse, quality, test, automation, equipment, and enterprise systems.
Develop and maintain scalable manufacturing data models supporting 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.
Implement data quality frameworks, monitoring, validation, reconciliation, alerting, and recovery processes.
Analyze and resolve complex integration, data, and system issues.
Support manufacturing operations by troubleshooting data pipelines, interfaces, and integration services.
Lead technical activities for 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.
Partner with manufacturing sites, analytics teams, IT organizations, engineering teams, implementation partners, and software vendors.
Collaborate effectively across global teams and time zones.
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.

Requirements

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.

Desired Qualifications

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.

Benefits

Opportunity to make a meaningful impact by contributing to the future of smart manufacturing and digital transformation.
Inclusive environment where every employee is valued.
Investment in growth and development through continuous learning opportunities, challenging assignments, and career development programs.
Competitive compensation and benefits programs designed to support your well-being.
Flexible work arrangements to promote a healthy work-life balance.
Culture of collaboration, innovation, and continuous improvement.
Commitment to safety, sustainability, diversity, equity, and inclusion.
Opportunity to help solve some of the world's most complex industrial challenges.

Skills

SQLAPIsPythonPowerShellSpark

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About Emerson

Emerson is a leading global technology, software, and engineering company providing innovative solutions for customers in industrial and commercial markets. We help customers in the world’s most essential industries solve the biggest challenges of modern life. Every day, our global workforce fulfills our unified Purpose and lives out the Values we hold close as an organization: Integrity, Safety & Quality, Support Our People, Customer Focus, Continuous Improvement, Collaboration, and Innovation. Across the globe, we are united by a singular Purpose: We drive innovation that makes the world…

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