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🧠⚡️ Data Engineer / Backend Data — EMS & Database Architecture 🌍 Our Mission & Impact At Wise. Energy, everything we do we do it for one purpose: energy decarbonization accessible & profitable for all companies. We believe that to enable a true energy transition, it needs to be inclusive and accessible for all. This is why we always offer our solutions in a triple-win model, where decarbonization rhymes with profitability and energy optimization. 💪 Your Mission Are you passionate about the energy transition and building data-driven systems to decarbonize companies and industries? Do you enjoy designing robust architectures, turning complex energy data into reliable insights, and continuously testing, iterating, and improving data pipelines? Do you like bringing your own technical perspective and engineering best practices into the products you build? Then you’re at the right place. We’re looking for a cutting-edge, Data Engineer to join our pioneering team and help democratize renewable energy and decarbonization through data. As a Data Engineer at Wise Energy , you’ll play a pivotal role in designing, building, and scaling the data backbone of our platform. You’ll be at the core of our mission, working on EMS ingestion, time-series data modeling, and high-performance analytical systems that enable businesses to decarbonize and optimize their energy usage with Wise.Brain . You’ll work closely with product, backend, and energy experts to understand real-world energy use cases, ensure data quality and reliability, and expose trusted analytical APIs. You will build and continuously evolve a robust, high-performance data platform for EMS ingestion, time-series modeling, data quality, and the exposure of reliable analytical APIs. We’re looking for someone ready to take strong ownership of the data platform and grow with us as we scale. 🦺Responsibilities Bring you own perspective, creativity and product strategy in data modeling & back-end architecture. Design and maintain the Postgres schema Develop ingestion pipelines (EMS) Write and optimize SQL/RPC functions, views, and aggregations (time-series, costs, scenarios) Implement and maintain multi-tenant RLS policies (security and performance) Develop Edge Functions (Deno/TypeScript) for processing, validation, and asynchronous jobs Ensure data quality and traceability (checks, backfills, audits) Improve performance of critical queries and overall database stability Collaborate with the technical team to align with business requirements 🧠Required Skills Advanced SQL and PostgreSQL Backend TypeScript (Node/Deno), API design, Edge Functions Data engineering experience Supabase Time-series data 👍 Nice to Have Strong experience in the energy sector Experience with EMS and/or IoT Observability (logs, metrics, alerting) Knowledge and experience in Data CI/CD 💪 Your main tasks include: Data Platform Architecture Design, build, and maintain a robust and scalable data architecture to support EMS ingestion, time-series modeling, and analytical workloads. Data Ingestion & Pipelines Develop and operate reliable ingestion pipelines for energy data (EMS, IoT, meters, etc.), ensuring data consistency and scalability. Data Modeling & Analytics Model energy data (time-series, costs, scenarios, flexibility) and build optimized SQL functions, views, and aggregations powering Wise.Brain’s analytical APIs. Database Performance & Security Own the Postgres layer: schema design, query optimization, performance tuning, and implementation of multi-tenant Row-Level Security policies. Backend & Edge Functions Develop backend for data processing, validation, asynchronous jobs, and business logic close to the data. Data Quality & Reliability Ensure end-to-end data quality and traceability through automated checks, backfills, monitoring, and audits. Cross-team Collaboration Work closely with product, backend, and energy experts to translate business and energy use cases into reliable, production-grade data systems. Innovation and Project management Proactively propose and implement new ways to manage, model, process, and leverage energy data to help customers decarbonize and optimize their energy usage automatically — at the Wise time . 🤝 With whom you will be working You’ll work hand-in-hand with our Founder & CEO, Product Owner, and the developper team. You’ll be supported by a fast growing group of backend, data, and energy experts. You’ll also regularly interact with other teams to align data capabilities with real-world energy use cases across industries such as industries, manufacturing, logistics, and retail. ⚡️What we offer • As you’re joining a pioneering team, the opportunity to grow quickly into senior or lead data roles , with ownership over key parts of the platform and the ability to shape the data roadmap • A competitive salary aligned with your experience • 20 days of paid leave + 5 additional paid holidays , with 1 additional day per year of seniority • Early access to company stock options • A job where decarbonization and impact are at the core of the DNA, and where your technical vision and values help shape a strong engineering culture 🏢 Our way of working Place of work: Hybrid – our office is located at the unique Belgian Climate Hub in the Botanic Tower, with a top view in Brussels, great office ambiance and collaboration with other energy transition companies Hours: Flexible, results-driven schedule Equipment: We provide the equipment and tools necessary for your role
