Hybrid Energy Engineer – AI-based Energy Systems

Posted 12 hours ago

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About the role

  • Energy Engineer leading onboarding projects for AI-driven energy management at etalytics. Configuring and optimizing customer-specific energy systems using our etaONE® platform.

Responsibilities

  • You play a key role in commissioning the autonomous optimization provided by our etaONE® platform as part of customer onboarding projects.
  • You take technical responsibility for configuring each energy system in our etaONE® platform, coordinate the process, and ensure that all customer requirements are met.
  • As the Energy Engineer for AI-driven Energy Intelligence Solutions (m/f/d), you are the primary point of contact for our customers on all matters related to our etaONE® energy intelligence platform.
  • You are adept at identifying customer needs and developing tailored solutions that not only meet but exceed their expectations.

Requirements

  • Some (initial) experience in energy optimization for industrial energy systems and a solid understanding of energy engineering fundamentals.
  • A completed degree in engineering (e.g., Energy Science, Mechanical Engineering, Electrical Engineering, Industrial Engineering, etc.).
  • Programming skills in Python and experience with mathematical optimization are desirable.
  • Strong sense of ownership, with the ability to work independently and make decisions that ensure the success of our projects, as well as a structured approach to work.
  • Excellent communication skills with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders.
  • Fluent German and English, both written and spoken.

Benefits

  • Meaningful work: Help industrial companies become more efficient and sustainable.
  • Flexibility: Hybrid work with the option to work from home (two days per week) and flexible working hours.
  • Team spirit: A supportive, collegial environment with plenty of opportunity for exchange and collaboration.
  • Community: Regular team events and shared activities.
  • Work–life balance: 30 days of annual leave and a flexible, agile working culture.
  • Health: Subsidy for a local gym membership and the option of a company bike scheme.

Job title

Energy Engineer – AI-based Energy Systems

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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