Data Engineer AI

Startup Atlas; Antwerpen; Hybrid; EUR 80.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive base salary

Performance bonus up to €25K/year

Stock options

13th month salary + double vacation

Company car or mobility budget

EV charging card

Health insurance for you + family

Laptop + smartphone

Hybrid work flexibility in Brussels/AN

Team events and milestones

Zusammenfassung

Enersee is seeking a Data Engineer AI to build and optimize data pipelines and develop AI models for our energy efficiency platform. You’ll handle time series data, integrate new data streams, and collaborate with stakeholders to deliver impactful sustainable energy solutions.

In this role you’ll design robust data architectures, deploy ML models in production, and work closely with product, engineering, and customers to turn data into actionable insights. Hybrid work in Belgium.

Qualifikationen

• AI/ML expertise with statistical modeling.
• Deep understanding of time series data and metadata.
• Strong backend coding skills with Python and data libs.

Aufgaben

• Analyze large time series datasets (energy and water) for patterns.
• Develop and implement advanced ML algorithms and models.
• Build new time series connectors as part of product development.
• Maintain and optimize data pipelines for quality and reliability.
• Troubleshoot data quality, structure, or flow issues quickly.
• Source and integrate new data streams into the platform.
• Collaborate with partners, integrators, and customers for live integrations.
• Work with developers to refine UX and translate client needs into models.

Kenntnisse

AI/ML expertise

Time series data

Python

Pandas

NumPy

SciPy

Flask

Data pipelines

Production deployment

Communication

Tools

Pandas

NumPy

SciPy

Flask

Jobbeschreibung

Enersee is an AI-powered platform that provides 24/7 virtual energy management, helping businesses reduce energy waste, lower carbon emissions, and conserve water through automated energy audits, anomaly detection, and real-time ROI tracking across building portfolios.

Enersee is seeking a Data Engineer AI to build and optimize data pipelines and develop AI models for their energy efficiency platform. The role involves handling time series data, integrating new streams, and collaborating with stakeholders to drive impactful solutions in sustainable energy.

Job Description

• Hybrid

We’re looking for a Time Series Data Engineer who lives and breathes data. Someone who thrives at the intersection of engineering, customer collaboration, and real-world problem solving.

Enersee is growing fast. We’re scaling to the next phase and building the data backbone that powers our AI-driven energy efficiency platform. To make that happen, we need you!

Looking to use AI & Data for Impact?

We’re looking for an Data Engineer AI who thrives at the intersection of algorithms, data pipelines, and real-world problem solving. You’ll make sure our platform runs on clean, consistent, and scalable data flows—while also developing innovative AI models that turn raw data into actionable insights. In short: you’ll shape both the brain and the nervous system of Enersee’s technology.

Why this role matters

Buildings account for 40% of global energy use and one-third of greenhouse gas emissions. That’s a massive challenge—and an even bigger opportunity.

To solve it, Enersee combines AI intelligence with solid data engineering. Your work will make sure data from thousands of buildings flows smoothly, reliably, and at scale—while also training and deploying models that make our AI smarter and our impact greater.

What you’ll do

• Analyze large time series datasets (energy & water) to identify patterns and trends.
• Develop and implement advanced ML algorithms and models.
• Build new time series and metadata connectors as part of product development.
• Maintain and optimize existing data pipelines for quality and reliability.
• Troubleshoot integration issues—data quality, structure, or flow—and solve them quickly.
• Actively source new data streams and integrate them into our platform.
• Collaborate with partners, integrators, and customers to get integrations live and smooth.
• Work closely with developers to refine UX and translate client needs into AI models.

Job requirements

Our ideal hire

• AI expertise: extensive knowledge of AI/ML and statistical modeling.
• Data expertise: deep understanding of time series data & metadata, including validation and edge cases.
• Python skills: strong backend coding skills, with experience in Pandas, NumPy, SciPy, and frameworks like Flask.
• Track record: proven success in implementing AI models and data pipelines in production.
• Practical mindset: you turn theory into solutions that work—scaling connectors, solving tricky issues, improving quality.
• Bias for action: you don’t wait for perfect plans, you start solving.
• Communication: clear, professional, and comfortable bridging business and tech with external stakeholders.

Bonus points if you have:

• Experience with large-scale time series pipelines (IoT, energy, monitoring).
• Familiarity with cloud platforms (AWS, GCP) or data platforms.
• A track record of improving data quality in production systems.

Don’t check every box?

What we offer you in return

We want you to grow with us and benefit from the impact you make.

• Competitive gross base salary depending on your experience
• Performance bonus (up to €25K/year)
• Stock options—you grow, we grow
• 13th month salary + double vacation pay
• Company car (worth €35-50K) or mobility budget + extra salary
• Charging card for your EV (also usable privately)
• Hospital insurance for you (free) + discounts for family
• Laptop + smartphone, incl. €30/month for phone & internet
• Energetic offices in Brussels and Antwerp + hybrid work flexibility
• Fun events, team activities, and milestones worth celebrating

FYI - We are growing fast, which is asking for a little more face 2 face interaction to also move fast.

Our work setting is hybrid, and our tech team works a lot from the office in Brussels. So yes, you can of course also take some days to focus from home, but we can’t have you working fully remote for now.