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Time Series Data Engineer for AI-Powered Energy
Data engineer for Enersee's energy-efficiency platform: builds and optimizes data pipelines, works with time series data, and develops and deploys AI/ML models to production. Hybrid role based in Belgium, working closely with product, engineering, and customers.
Data Engineer AI
Data Engineer (AI) at Enersee, an AI-driven energy-efficiency platform: build and maintain time-series data pipelines and connectors, and develop/deploy ML models that turn building energy and water data into insights. Python-centric (Pandas, NumPy, SciPy, Flask), hybrid work based mainly from the Brussels office.
Backend Engineer: Energy Time Series & Data Flows
Enersee is hiring a backend developer in Belgium to build scalable services around energy time-series data, owning reliable data flows from ingestion to API exposure. Core stack is Python with FastAPI and SQLAlchemy, working hybrid from Antwerp or Brussels offices.
Backend Software Developer (Energy, Time Series & Data Flows)
Builds production Python backend services and data pipelines (ingestion → validation → serving) for Enersee's energy-efficiency platform, with a focus on time series energy/water data, connectors, and API integrations. Hybrid work from offices in Antwerp and Brussels, Belgium.