Senior Industrial Data Integration Engineer (Digital Thread, OT/IT)

Seniority: Senior (6+ years enterprise + industrial integration; OT/IT convergence essential) Team fit: Owns the integration layer and data model that feed the twin; the highest-risk workstream in the program. About the role You will design and build the "digital thread" that connects the systems of record — SAP ERP, Tekla PowerFab, and the shop-floor MES (Dragon Forge) — together with real-time machine telemetry, into a canonical data model the digital twin consumes. For new-build plants you will prove these integrations against sandbox systems and vendor controller emulators ahead of go-live; for existing plants you will connect to live production systems and equipment. Key responsibilities Design and build integrations to SAP ERP (orders, BOM, inventory), Tekla PowerFab (fabrication packages, piece/package tracking), and the MES (work-order execution, machine data). Build shop-floor connectivity via OPC UA, MQTT, and PLC/SCADA data acquisition, including edge-to-cloud telemetry. Design the canonical / semantic data model that maps enterprise and shop-floor data to twin objects (ISA-95-aware). Stand up streaming and event pipelines (Kafka / Amazon MSK, Kinesis), a data lake, and master-data mapping on AWS. Define integration and data standards early — including for greenfield systems still being configured — to avoid costly retrofits. Work with equipment vendors (including controller emulators / OPC UA test servers) to validate connectivity before installation. Partner with the OT/security teams on safe, compliant OT/IT convergence. Required Enterprise integration with SAP (IDoc / BAPI / RFC / OData) and MES/ERP APIs. Industrial protocols: OPC UA, MQTT, Modbus; PLC / SCADA data acquisition. Streaming / event-driven architecture (Kafka / MSK, Kinesis) and real-time data pipelines. Data modeling, ETL/ELT, and data lake design on AWS. Demonstrated OT/IT convergence work in a manufacturing or plant environment. Preferred Tekla PowerFab or structural-steel fabrication systems experience. Unified Namespace (UNS) architecture and industrial IoT platforms. Edge computing (AWS IoT Greengrass, industrial gateways). OT cybersecurity and cross-border data-governance awareness. Prior work feeding real-time data into a digital twin or 3D visualization layer. Steel / metal fabrication or discrete-manufacturing domain knowledge.

Design and build a digital thread connecting SAP ERP, Tekla PowerFab, and MES with real-time machine telemetry into a canonical data model. Establish streaming pipelines and data lakes on AWS to support digital twin functionality across new and existing plants.

Requires over 6 years of experience in enterprise and industrial integration with expertise in SAP, industrial protocols, and event-driven architectures. Must have a demonstrated track record of OT/IT convergence within a manufacturing or plant environment.

Identified from the job description. Confirm important requirements above.

• SAP Integration
• OT/IT Convergence
• OPC UA
• MQTT
• Kafka
• AWS
• Data Modeling
• ISA-95
• Digital Twin
• ETL/ELT
• PLC/SCADA
• Amazon MSK
• Kinesis
• Modbus
• Unified Namespace
• Edge Computing
• Machine-Generated Data
• Data Lakes
• AWS Internet Of Things (IoT)
• Domain Knowledge
• Industrial Protocols
• Pipelines
• AWS Kinesis
• Event Driven Architecture
• Tekla (BIM Software)
• Enterprise Integration
• Industrial Internet Of Things (IIoT)
• American Welding Society Codes
• Amazon Managed Streaming for Apache Kafka (Amazon MSK)
• Application Programming Interface (API)
• Cyber Security
• Data Acquisition
• Data Governance
• Extract Transform Load (ETL)
• Data Mapping
• Discrete Manufacturing
• Emulators
• Enterprise Resource Planning
• Fabrication
• Metal Fabrication
• Supervisory Control And Data Acquisition (SCADA)
• IDoc (Intermediate Document)
• Manufacturing Execution System (MES)
• Message Queuing Telemetry Transport (MQTT)
• SAP ERP
• Open Data Protocol (OData)
• Package Tracking
• Programmable Logic Controllers
• Telemetry
• SAP Applications

• Engineering
• Technology
• Manufacturing
• Data & Analytics
• Software
• Data Integration Engineer
• IT Specialist / Engineer
• Information and Communications Technology User Support Technicians
• Computer User Support Specialists

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week