Time Series Data Engineer for AI-Powered Energy

Startup Atlas; Antwerpen; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

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

Job summary

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.

Qualifications

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

Responsibilities

• 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.

Skills

AI/ML expertise

Time series data

Python

Pandas

NumPy

SciPy

Flask

Data pipelines

Production deployment

Communication

Tools

Pandas

NumPy

SciPy

Flask

Job description

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.