data and backend engineer for industrial AI

Quantum One is an Abu Dhabi-based AI consulting and solutions company that delivers AI/ML systems to industrial clients across energy, logistics, manufacturing, and infrastructure in the UAE.

• Design and operate Databricks pipelines ingesting industrial data from historians, SCADA/IoT telemetry, ERP/MES systems, and third-party APIs
• Model and maintain data structures for ML workloads, including time-series data
• Build production Python services for model inference, orchestration, and client integration, and design APIs for client teams
• Own operational readiness, including containerisation, CI/CD, monitoring, and performance
• Define architecture and defend it in technical reviews with clients

• Hands-on production experience with Databricks, including Spark, Delta Lake, and Workflows
• 5+ Years of professional Python experience, including production experience with backend services (FastAPI or equivalent) and data pipelines
• Strong SQL and sound data-modelling judgement
• Experience with PostgreSQL and an analytical or time-series store
• Experience with batch and streaming processing, using Spark, Polars, Kafka, or equivalent
• End-to-end service ownership experience with Docker, Kubernetes, CI/CD, and Azure
• Client delivery or consulting experience and the ability to engage credibly with a client's engineering lead
• Professional fluency in English
• Candidates who prefer to specialise exclusively in data or backend are not a fit
• Будет плюсом: industrial protocols and historians (OPC UA, MQTT, OSIsoft PI), ML models in production (MLflow, feature stores, inference services), domain exposure to energy, logistics, manufacturing, or infrastructure

• Contractor engagement
• Competitive compensation