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Data Engineer at Orus Energy

Are you a seasoned Data Engineer looking to drive the energy transition? Join Orus Energy in Paris to lead a full-stack data mission. You'll build the backbone of our energy flexibility platform, from deploying ML models for battery steering to architecting robust AWS pipelines. If you have 5+ years of experience and a passion for turning complex data into high-impact product features, this is your chance to join a high-growth startup where your work directly optimizes the power grid.

About this role

Role overview

As a Full Stack Data Engineer at Orus Energy, you will manage the entire data value chain. Working alongside the Data Lead, you will build robust pipelines, deploy ML models for energy consumption forecasting, and develop battery management systems. This role is pivotal in scaling our energy flexibility platform through rigorous engineering and AI.

About the company

Orus Energy

Orus Energy

Energy

Orus Energy - High-growth energy flexibility startup

What you'll do

What you will do

  • Design, develop, and maintain scalable data pipelines on AWS to power internal systems, real-time dashboards, and predictive models.
  • Deploy and industrialize end-to-end machine learning models for energy consumption forecasting and battery steering.
  • Create and integrate generative AI tools and monitoring solutions to ensure the reliability and observability of our entire data ecosystem.

Who you are

Who this is a fit for

  • Has 5+ years of experience in Data Engineering or Data Science with a proven track record of bringing models into production.
  • Possesses deep technical mastery of Python, SQL, and the AWS cloud ecosystem, alongside experience with tools like Superset or Streamlit.
  • Exhibits an entrepreneurial mindset with the pragmatism to build and iterate quickly within a fast-paced startup environment.

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Why this role

Why this role is remarkable

  • Take ownership of a full-stack data environment where you influence everything from infrastructure and ML Ops to product-facing AI tools.
  • Join a mission-driven team tackling the energy transition by building real-world solutions for building flexibility and battery optimization.
  • Impact the core product directly by turning complex energy data into operational tools for sales, operations, and end-customers.

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