Industrial Data Engineer

Essential Responsibilities

Manufacturing Technology Systems

• Serve as the primary technical owner for industrial data systems supporting bottle manufacturing operations.
• Maintain deep functional knowledge of Forming Technology systems, gob distribution systems, IS machine controls, servo systems, and associated process data.
• Support all bottle inspection technologies including hot-end, cold-end, dimensional, stress, cosmetic, check detection, sidewall inspection, finish inspection, and vision-based inspection systems.
• Ensure manufacturing technology platforms operate reliably and provide accurate production information.
• Coordinate troubleshooting efforts between Operations, Engineering, Automation, Quality, and external equipment suppliers.
• Lead technology assessments and recommendations for future manufacturing technology investments.

Industrial Data Architecture

• Develop and maintain industrial data pipelines from machine controls, PLCs, inspection systems, historians, MES platforms, and manufacturing databases.
• Design and maintain integrations between manufacturing systems and enterprise platforms.
• Ensure production data is accurately collected, transformed, validated, and stored within designated enterprise repositories.
• Develop enterprise standards for industrial data acquisition, naming conventions, asset hierarchy, and system integration.
• Establish scalable industrial data models supporting future analytics and artificial intelligence initiatives.
• Monitor data quality, completeness, latency, and system reliability.

Manufacturing Analytics & Operational Intelligence

• Develop dashboards, KPIs, scorecards, and reporting solutions supporting manufacturing operations.
• Analyze forming performance, inspection results, reject trends, downtime patterns, efficiency losses, and quality defects.
• Create automated reporting systems providing visibility into operational performance.
• Perform trend analysis and predictive modeling to identify opportunities for process optimization.
• Translate complex manufacturing datasets into actionable information for operational leadership.
• Develop root cause analysis methodologies supported by production data.

Inspection Technology & Quality Analytics

• Support the implementation, optimization, and utilization of all bottle inspection technologies.
• Analyze inspection data to identify recurring quality issues, production shifts, cavity-specific defects, and machine-related performance concerns.
• Develop automated defect monitoring and early-warning systems.
• Validate inspection system performance against known standards and production requirements.
• Build reporting structures that improve defect visibility and accelerate corrective actions.
• Work closely with Quality and Manufacturing teams to improve product quality and reduce customer risk.

MES, ERP, and Manufacturing Systems Integration

• Support integrations between operational technology systems and enterprise business systems.
• Assist in the development and maintenance of MES functionality, manufacturing reporting structures, and production transaction logic.
• Validate production and equipment data feeding enterprise systems.
• Support reconciliation of production reporting, consumption reporting, and manufacturing performance metrics.
• Identify gaps between operational processes and system design and develop recommendations for improvement.

Continuous Improvement & Innovation

• Lead industrial data and manufacturing technology improvement initiatives.
• Research emerging industrial technologies, machine learning applications, artificial intelligence solutions, and smart manufacturing platforms.
• Work with equipment suppliers to stay current on advances in glass manufacturing technology.
• Identify opportunities to automate manual processes through technology integration and advanced analytics.
• Support future Industry 4.0 initiatives and digital transformation programs.

Cross-Functional Collaboration

• Partner with Manufacturing, Quality, Engineering, Maintenance, Supply Chain, Inventory Control, and Information Technology teams.
• Act as the technical liaison between equipment vendors and internal stakeholders.
• Support training of operational teams on manufacturing technology systems and reporting tools.
• Communicate findings, trends, and recommendations to leadership teams.
• Translate manufacturing challenges into structured data and technology solutions

Requirements: Education, Skills & Certifications

Education

• Bachelor's degree in Engineering, Computer Science, Information Systems, Data Engineering, Industrial Engineering, Automation Engineering, Manufacturing Engineering, or related discipline preferred.
• Equivalent combination of education and demonstrated industrial experience may be considered.

Experience

• Minimum 5 years of experience supporting manufacturing technology, industrial automation, industrial data systems, or manufacturing analytics.
• Experience working within a manufacturing environment required.
• Glass manufacturing experience strongly preferred.
• Experience integrating industrial equipment, PLCs, machine controls, inspection technologies, or SCADA systems preferred.

Technical Skills

• Strong understanding of industrial data architecture and manufacturing systems integration.
• Experience with SQL Server, database design, and data modeling.
• Experience with Power BI, reporting platforms, and manufacturing analytics.
• Experience working with MES, ERP, SCADA, Historian, and Industrial IoT systems.
• Understanding of OPC-UA, MQTT, API integration, and industrial communication protocols.
• Experience developing manufacturing dashboards and KPI reporting systems.
• Ability to analyze large datasets and identify actionable business insights.
• Understanding of machine vision systems and automated inspection technologies preferred.
• Experience with Python, Azure Data Services, Microsoft Fabric, or cloud data platforms preferred.

Professional Skills

• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to work effectively in a fast-paced manufacturing environment.
• Strong project management and organizational capabilities.
• Demonstrated ability to manage multiple priorities simultaneously.
• Committed to continuous improvement and operational excellence.

Success Profile

• Maintains stable and reliable industrial data environments.
• Provides accurate and trusted manufacturing reporting.
• Enables improved production performance through data-driven insights.
• Develops scalable industrial data solutions supporting business growth.
• Successfully integrates manufacturing technologies with enterprise systems.
• Improves visibility into production, quality, and operational performance.