Data Engineer

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