Senior System Engineer (Cloud, Data & IoT)

We are looking for a senior, hands-on Technical System Engineer to design and build the cloud, data and IoT foundation for our real estate portfolio. You will connect smart building systems, IoT devices and business systems into a scalable data platform that powers insights on energy, occupancy, maintenance and building performance.

• Design and implement secure, scalable cloud architectures for real estate and smart building solutions on GCP, Azure or AWS.
• Build and operate the data lake / lakehouse (e.g. Databricks, Delta Lake) for building, IoT, IWMS and business data, including ingestion, modelling and governance.
• Develop batch and streaming pipelines in Python / PySpark and SQL for time-series sensor data, BMS data and system integrations.
• Architect and integrate IoT device connectivity and smart building systems (BMS, energy meters, occupancy and environmental sensors) using protocols such as MQTT, BACnet and OPC UA.
• Build APIs, microservices and web front-ends that expose building data and insights to users and other systems.
• Lead the technical workstream on large, multi-site projects from solution design and estimation through build, rollout and handover.
• Set up CI/CD, infrastructure as code, monitoring and automated testing; ensure security, reliability and cost efficiency.
• Enable dashboards, KPIs and advanced analytics/ML use cases such as energy optimisation, predictive maintenance and space utilisation.
• Define standards, review code and designs, mentor engineers and work closely with architects, vendors and business stakeholders.

• Senior, hands-on experience in software and data engineering, with a track record of delivering large, complex projects.
• Strong background in cloud architecture on GCP and/or Azure / AWS (compute, storage, networking, security, serverless, managed data services).
• Full-stack experience with a strong back-end focus – designing and building APIs, services and integrations.
• Advanced Python skills for data engineering and back-end development.
• Hands-on experience with Databricks (PySpark, Delta Lake, workflows, Unity Catalog).
• Solid data engineering experience – data lakes / lakehouses, data modelling, ETL/ELT, streaming and time-series data.
• Experience with IoT platforms and smart building systems, including device data ingestion and building protocols.
• Experience with CI/CD, Git, containers (Docker / Kubernetes) and infrastructure as code (e.g. Terraform).