Energy Analytics Software Engineer

Full Stack Energy

Limerick

On-site

EUR 65,000 - 90,000

Full time

14 days+

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Job summary

Full Stack Energy in Ireland is seeking a Software Engineer to contribute to analytics and optimisation software for the energy technology domain. You will participate in design, implementation, and maintenance of data-processing components, with emphasis on Python and time-series workflows.

The role requires strong technical thinking, reliability, and the ability to work independently with minimal supervision while collaborating with senior staff and customers.

Qualifications

  • Degree in Computer Science, Software Engineering, Mathematics, Electrical Engineering, or related field.
  • Solid grounding in programming fundamentals and Python development.
  • Ability to write, read, test, debug, and maintain Python code for analytics and data processing.
  • Experience with additional high-level languages is desirable.
  • Familiarity with Linux environments and command line tooling.

Responsibilities

  • Design and implement software modules and data-processing components.
  • Work with time-series data and optimisation workflows.
  • Troubleshoot, debug, and improve system performance.
  • Document technical work clearly for colleagues.

Skills

Python development
Time-series data
Algorithms & data structures
Linux CLI
API development
Problem solving
Independent work
Documentation
Mathematics interest

Education

Degree in Computer Science
Degree in Software Engineering

Tools

Docker
AWS/Azure/GC
SQL
Python tooling

Job description

Full Stack Energy in Ireland is seeking a Software Engineer to contribute to analytics and optimisation software for the energy technology domain. You will participate in design, implementation, and maintenance of data-processing components, with emphasis on Python and time-series workflows.

The role requires strong technical thinking, reliability, and the ability to work independently with minimal supervision while collaborating with senior staff and customers.

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