Manufacturing Systems Engineer

Duties and Responsibilities

• Support integration of manufacturing systems including MES, ERP (SAP preferred), automation platforms, quality management systems, and BI tools to ensure seamless data flow across the organization.
• Aid in data integration activities such as writing SQL queries, supporting ETL processes, and facilitating API connections between manufacturing and enterprise systems.
• Participate in automation system integration projects, including defining data collection points, interface specifications, and connectivity requirements for the equipment.
• Support data migration efforts and maintain data accuracy, validation, and governance across reporting and integration platforms.
• Assist in the development and maintenance of manufacturing dashboards and reports using Tableau, Qlik Sense/QlikView, or Power BI to support production performance tracking.
• Collaborate with operations, quality, and engineering teams to define KPIs, reporting requirements, and analytical needs that drive data-driven decision-making.
• Create and maintain automated reporting systems that provide actionable visibility into manufacturing performance metrics.
• Drive paperless initiatives and digital workflow improvements on the shop floor, reducing reliance on manual processes and paper-based documentation.
• Contribute to Industry 4.0 digitalization efforts that enhance connectivity between manufacturing systems and improve overall operational efficiency.
• Translate functional manufacturing needs into clear technical requirements for IT development teams and external vendors.
• Assist with User Acceptance Testing (UAT), validation, and commissioning of new digital systems and software interfaces.
• Maintain comprehensive documentation for system architectures, process flows, data integration specifications, and standard operating procedures (SOPs).
• Create and maintain project documentation, progress reports, and performance metrics to support digitalization initiatives.
• Partner with IT teams to develop and implement system enhancements and automation solutions that meet manufacturing operational needs.
• Train manufacturing personnel on BI tools, dashboards, and digital systems to ensure effective adoption across the organization.
• Interface directly with Cross function team to gather requirements, validate system improvements, and ensure successful implementation of new tools and processes.

Requirements

• BI Tools: Qlik Sense/QlikView, Power BI or Tableau
• Programming/Scripting: SQL (required), Python (required)
• Databases: SQL Server, Oracle, MySQL, or PostgreSQL
• Proficiency in lean manufacturing principles, Six Sigma methodologies, and continuous improvement tools with focus on system optimization
• Strong knowledge of manufacturing systems including MES, ERP, SCADA, and data visualization platforms for digitalization initiatives
• Effective communication and presentation skills for all organizational levels, particularly for business case presentations
• Knowledge of Industry 4.0 technologies (IoT, digital twin, predictive analytics)
• Familiarity with automation technologies and Industry 4.0 solutions for manufacturing environments
• Experience with B2B integration platforms (EDI, API-based supplier portals)
• Leadership capabilities to facilitate cross-functional collaboration with IT, Quality, and Process Engineering teams
• Understanding of traceability requirements in electronics manufacturing (serialization, genealogy)

Education and Experience

• Bachelor’s degree in Engineering, Computer Science, Information Systems, or related field
• 1-2 years of experience in manufacturing systems, data analytics, or system integration.
• 3-5 years of experience with focus on system integration, software Engineering support for automation projects
• Prefer Master's degree in Engineering, Business Administration, or Information Systems