OT Data Engineer (UNS Architecture, OPC UA, Modbus) 100 Remote

OT Data Engineer
Job Type : Contract
Duration : 6 Months
Experience : 3-7 years


Job Description: OT Data Engineer

The OT Data Engineer will play a central role in building scaling and maintaining the data infrastructure that supports digital manufacturing realtime operations and advanced analytics across our pharmaceutical production network. This role focuses on integrating shopfloor systems implementing a robust Unified Namespace (UNS) architecture and leveraging HighByte Intelligence Hub to enable contextualized reliable and compliant data flows for manufacturing quality and business stakeholders.

Key Responsibilities

• Design implement and maintain a Unified Namespace (UNS) to standardize realtime data access across OT IT and enterprise systems.
• Deploy and configure HighByte Intelligence Hub for data modeling contextualization transformation and secure data movement between OT and cloud platforms.
• Integrate data from PLC/SCADA systems historians (e.g. PI IP.21) MES LIMS and IoT devices into the UNS and analytics platforms.
• Build and maintain data pipelines that support realtime monitoring predictive analytics digital twins and process optimization.
• Collaborate with automation process engineering quality and IT teams to ensure 21 CFR Part 11 GxP and data integrity compliance.
• Develop and maintain data models ontologies and asset hierarchies aligned with ISA95/ISA88 standards.
• Implement data governance including metadata management lineage tracking and access control.
• Support advanced analytics and machine learning initiatives by ensuring highquality contextualized data availability.
• Troubleshoot data flow issues across OT/IT boundaries and optimize system performance.
• Contribute to the roadmap for Industry 4.0 smart manufacturing and digital transformation initiatives.

Required Qualifications

• Bachelors degree in Engineering Computer Science Information Systems or related field.
• 3-7 years of experience in OT data engineering industrial data systems or manufacturing IT.
• Handson experience with:
  • Unified Namespace (UNS) architectures
  • HighByte Intelligence Hub (data modeling flows connectors)
  • MQTT brokers (Ignition HiveMQ EMQX)
  • Industrial protocols (OPC UA Modbus Ethernet/IP)
• Strong understanding of pharma manufacturing environments including GxP validation and data integrity requirements.
• Proficiency in Python SQL and modern data engineering tools.
• Experience with cloud platforms (Azure AWS or GCP) and edgetocloud architectures.
• Experience with ISA95/ISA88 modeling and enterprisetoshopfloor integration.
• Knowledge of data analytics statistical process control or machine learning workflows.
• Experience with Ignition Kepware or similar industrial middleware.
• Familiarity with historians MES Tulip and automation systems.

Key Competencies

• Strong problemsolving and rootcause analysis skills.
• Ability to translate manufacturing needs into scalable data solutions.
• Excellent communication skills for crossfunctional collaboration.
• Detailoriented mindset with a focus on reliability and compliance.
• Passion for digital transformation and modern OT/IT convergence

Required Skills:

Data ModelingFlowConnectRModbusEtherNet/IP