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About the role:
We’re hiring a hands-on OT Consultant to build, connect, and operationalize industrial data flows from shop-floor systems (PLC/SCADA/DCS, sensors, historians) through edge gateways into OT/IIoT platforms and cloud data stacks. This role is “on the tools hands on delivery”: configuring connectivity, building pipelines, deploying edge apps, validating data quality, and supporting commissioning/testing on live factory environments.
You’ll work with platforms like ThingWorx, Litmus, Ignition, Sight Machine, Mendix, and integration tools like Node-RED, plus modern cloud services (Azure/AWS) and industrial protocols (OPC UA/MQTT). You’ll be a key delivery driver in global multi-site rollouts.
Responsibilities:
OT connectivity & data acquisition (shop-floor to edge)
- Connect to OT sources: PLCs, SCADA, DCS, industrial sensors, historians, and machine controllers.
- Configure and troubleshoot industrial connectivity using protocols such as OPC UA/DA, MQTT (Sparkplug B), Modbus TCP/RTU, EtherNet/IP, PROFINET, and REST APIs (where applicable).
- Implement tagging standards and support tag governance (naming conventions, units, sampling, quality flags, timestamps).
Edge engineering & local orchestration
- Deploy and configure edge runtimes and gateways (on industrial PCs/VMs):
- Litmus Edge, Ignition Edge, Kepware/KEPServerEX, HiveMQ/Mosquitto, Azure IoT Edge / AWS Greengrass (as relevant)
- Build edge workflows for buffering, filtering, enrichment, and routing using:
- Node-RED, Python, scripting, connectors, store-and-forward patterns
- Ensure resilient edge operations: offline buffering, retry logic, local persistence, health monitoring.
OT/IIoT platforms configuration & app enablement
- Configure and develop solutions within OT/IIoT platforms such as:
- PTC ThingWorx (modeling, connectivity, mashups/services)
- Sight Machine (data onboarding, model alignment, analytics enablement)
- Inductive Automation Ignition (tags, gateways, OPC/MQTT modules, UIs)
- Litmus (connectors, pipelines, edge analytics)
- Mendix (lightweight apps/workflows on top of OT data)
- (Optional/nice to have depending on stack) Support configuration for:
- AVEVA (System Platform / Historian / PI-like patterns), Siemens Industrial Edge / MindSphere, Tulip, HighByte Intelligence Hub, Kepware, OSIsoft PI / AVEVA PI System
Ingestion& pipelines (edge > OT platforms > cloud)
- Implement end-to-end ingestion pipelines:
- From L0–L2 signals (machines) > edge > OT platform > cloud ingestion
- Validate payload formats, schemas, batching, compression, and frequency to meet performance needs.
- Support cloud ingestion patterns using:
- Azure (IoT Hub/Event Hubs, Functions, Data Lake, Databricks/Synapse)
- AWS (IoT Core/Kinesis, Lambda, S3/Glue)
- Integration into Snowflake (via streaming/batch connectors where relevant)
- Implement data quality checks: completeness, duplication, timestamp drift, unit consistency, gap detection.
Site delivery, commissioning &troubleshooting
- Work on-site (or remote to site edge systems) to support:
- Installation, configuration, commissioning, and integration testing
- Firewall/network coordination with Site IT (ports, routes, certs, proxies)
- Troubleshoot connectivity and performance across the full chain (OT > edge > platform > cloud).
- Document configurations, runbooks, and handover packages for operations/support teams.
What We're Looking For:
- 4–8+ years in OT/industrial integration roles with hands-on delivery in manufacturing environments.
- Strong practical experience with at least two of the following:
- ThingWorx, Ignition, Litmus, Sight Machine, Mendix
- Proven experience building integration flows using Node-RED (or equivalent low-code orchestration) plus scripting (Python preferred).
- Solid understanding of OT systems and protocols (OPC UA, MQTT, Modbus, etc.) and the realities of plant networks.
- Comfortable working with multiple stakeholders (OT, IT, Security, OEMs, System Integrators) in a global environment.
What will set you apart:
- Kepware/KEPServerEX, HighByte Intelligence Hub (industrial data modeling/contextualization)
- Azure IoT Edge or AWS Greengrass deployments and operations
- Basic Docker/Kubernetes familiarity (edge deployments, containerized connectors)
- Experience with AVEVA stack or OSIsoft PI / AVEVA PI System
- Knowledge of IEC 62443 concepts and industrial network segmentation/DMZ patterns
- Experience with time-series databases and event streaming design
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.