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 Power. Fab, 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 Power. Fab (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 Power. Fab 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.