Senior Python Engineer

CompuStaff; Limerick; Hybrid; EUR 60,000 - 95,000; Full time

Job summary

CompuStaff Group in Ireland is seeking a Python Software Engineer – Energy Analytics & Optimisation to join a specialist engineering team working on analytics and optimisation software in the energy sector.

You will develop Python software for analytics, data processing and automation, build prototypes, work with algorithms and time-series data, and use SQL databases. The role is hybrid, requiring office presence twice a month.

Qualifications

• A degree in Computer Science, Software Engineering or related field with software development.
• Practical experience writing, testing and maintaining Python code.
• Strong understanding of programming fundamentals, algorithms and data structures.
• Experience with Linux environments and command-line tools.
• Working knowledge of SQL and relational databases.
• Good analytical and problem-solving skills; able to work independently.
• Clear communication and ability to share ideas in technical discussions.

Responsibilities

• Develop, test and maintain Python software for analytics, data processing and automation.
• Build software components and prototypes to support research and development.
• Work with algorithms, mathematical models, optimisation workflows and time-series data.
• Use SQL and databases to manage and process data.
• Investigate technical issues, debug code and improve software performance.
• Research new approaches and technologies to solve engineering problems.
• Collaborate with senior engineers and technical specialists, taking ownership of your work.
• Document solutions clearly and communicate technical findings to colleagues and customers.

Skills

Python

Linux

SQL

Algorithms

Data processing

Debugging

Communication

Education

Degree in Computer Science or related

Tools

Docker

AWS

Azure

Google Cloud

Job description

Python Software Engineer – Energy Analytics & Optimisation

The opportunity

Are you a software engineer who enjoys solving complex technical problems and developing software that tackles real-world challenges?

This is an opportunity to join a specialist engineering team working on analytics and optimisation software within the energy sector. You will contribute to the development of software, data-processing tools and research prototypes, working alongside experienced engineers on technically challenging projects.

The role would suit a developer with strong Python skills, a solid understanding of computer science fundamentals and an interest in mathematics, algorithms and data-driven technology.

Hybrid role - required to be in the office twice a month.

What you will do

• Develop, test and maintain Python software for analytics, data processing and automation.

• Build software components and prototypes to support research and development.

• Work with algorithms, mathematical models, optimisation workflows and time-series data.

• Use SQL and databases to manage and process data.

• Investigate technical issues, debug code and improve software performance.

• Research new approaches and technologies to solve engineering problems.

• Collaborate with senior engineers and technical specialists, taking ownership of your work.

• Document solutions clearly and communicate technical findings to colleagues and customers.

What we are looking for

• A degree in Computer Science, Software Engineering, Mathematics, Electrical Engineering or a related technical discipline with a software development component.

• Practical experience developing in Python, including writing, testing, debugging and maintaining code.

• A sound understanding of programming fundamentals, algorithms and data structures.

• Experience working in Linux environments and using command-line tools.

• Working knowledge of SQL and relational databases.

• Strong analytical and problem-solving skills, with the ability to work independently and approach unfamiliar challenges methodically.

• Clear communication skills and a willingness to contribute ideas in technical discussions.

Additional experience that would be useful

• Working with time-series data, statistical methods or optimisation problems.

• Experience with APIs, data streams or messaging systems.

• Exposure to NoSQL or time-series databases.

• Familiarity with Docker and cloud platforms such as AWS, Azure or Google Cloud.

• Knowledge of C++, Rust or Go.

• An interest in energy technology, machine learning or emerging AI technologies.

You do not need to have experience with every technology listed above. A strong foundation in Python, computer science and analytical problem-solving is the priority.

Why consider this role?

• Work on technically challenging problems in the energy technology sector.

• Join a small, focused team with an emphasis on research, innovation and practical implementation.

• Work closely with experienced engineers and develop your knowledge across software, data and mathematical modelling.

• Gain exposure to new technologies and opportunities to learn through hands-on development and independent research.

Interested?

If you enjoy programming, analytical thinking and developing solutions to problems that do not always have straightforward answers, we would like to hear from you.