IT / OT / IoT Data Integration Engineer

Phase

Initial phase (foundational for OT-heavy pilots)

Required experience

6+ years in data integration, with 3+ years on OT / IoT or industrial data sources.

Role summary

Specialist role focused on bringing operational technology and IoT data into the platform. Handles the harder edge of integration: CCTV, intelligent building management systems, sensors, and industrial control data, bridging them into the IT data estate cleanly and securely.

Key responsibilities

• Integrate IT, OT, and IoT data sources into the platform, including CCTV, sensors, and building management systems (chillers, power, access control).
• Build reliable ingestion for time-series and streaming telemetry from operational systems.
• Bridge OT protocols and data formats into standard platform interfaces.
• Work with facilities and operations stakeholders to map and validate OT data.
• Ensure security, segmentation, and governance appropriate to OT environments.
• Support the pilot use cases that depend on operational data.
• Must-have skills and experience
• Experience integrating OT / IoT data sources in an industrial or building-systems context.
• Strong handling of time-series and streaming data (InfluxDB or similar).
• Understanding of intelligent building management systems and their data (chillers, power, access control).
• Familiarity with IT / OT convergence, security, and network segmentation concerns.
• Ability to work across MongoDB, PostgreSQL, and message/streaming layers.
• Nice to have
• Experience with CCTV or video data pipelines.
• Exposure to industrial protocols (OPC UA, MQTT, Modbus, or similar).
• Edge computing or gateway experience.
• Relevant stack
• InfluxDB, time-series stores, MQTT / OPC UA, CCTV feeds, building management systems, MongoDB, PostgreSQL, Redis.
• General attributes
• Proactive and self-driven, able to take ownership and move work forward without waiting to be told.
• AI-enabled in day-to-day work, comfortable using AI tools and copilots to accelerate delivery and quality.
• Strong self-learner who stays current with evolving tools, platforms, and practices.
• Good team player who collaborates well across engineering, operations, and stakeholder groups.