Quantum one

data and backend engineer for industrial AI

In short

Senior contractor role building and operating Databricks-based data pipelines and production Python/FastAPI backend services for industrial AI/ML systems. The company is an Abu Dhabi-based AI consulting firm serving energy, logistics, manufacturing, and infrastructure clients in the UAE. Requires 5+ years of Python, strong Databricks/Spark/Delta Lake, SQL, Docker/Kubernetes/CI/CD/Azure, and client-facing consulting experience; candidates who want to specialize only in data or only in backend are not a fit. Fully remote, contractor engagement with competitive compensation.

About
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.
Responsibilities
•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
Requirements
•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
Nice to have
•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
Conditions
•Contractor engagement
•Competitive compensation

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