About Energy Exemplar
In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation.
Our impact is global and is being recognized across the industry. Some of our recent accolades include:
- SaaS Company of the Year (2025) – Global Business Tech Awards.
- Environmental Impact Award (2025) – E+E Leaders Awards.
- IPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners
- Finalist: Platts Global Energy Awards (2024) – Grid Edge category
- Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change
- Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards.
How We Work
Energy Exemplar is growing fast around 30% year on year and, that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that’s at home, in the office, or on the move.
We’re a global team that values ownership, integrity, and innovation. You’ll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role.
Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren’t just words. They show up in how we collaborate, how we solve, and how we grow together.
About the Position
Reporting to the Software Engineering Manager as a member of the Development team at IDC, the Software Engineer is responsible for delivering quality and performant software and design to handle the vast array of use cases that our customers have today. This role is responsible for developing software solutions by learning information needs, discussing with managers, studying systems flow, data usage, finding problem areas, coming up with solutions, and following the software development lifecycle.
Candidate Requirements and Qualifications
- 3-5 years of experience in Python programming and data structure and algorithms.
- Experience in developing data pipelines for large-scale, complex datasets from varieties of data sources.
- Data engineering expertise with strong experience working with Python, Beautiful Soup, and web scraping.
- Knowledge with cloud-based data technologies such as Azure Data Lake, Azure Data Factory, and Azure Data Bricks is optionally desirable.
- Moderate coding skills. SQL or similar is required. C# or other languages are strongly preferred.
- Outstanding communication and collaboration skills. You can learn from and teach others.
- Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products and services.
Key Accountabilities & Duties
- Develop, test, and maintain architectures, such as databases and large-scale processing systems, using high-performance data pipelines.
- Recommend and implement ways to improve data reliability, efficiency, and quality.
- Identify performant features and make them universally accessible to our teams across EE.
- Work together with data analysts and data scientists to wrangle the data and provide quality datasets and insights to business-critical decisions.
- Take end-to-end responsibility for the development, quality, testing, and production readiness of the services you build.
- Define and evangelize data engineering best standards and practices to ensure engineering excellence at every stage of the development cycle.
- Act as a resident expert for data engineering, feature engineering, and exploratory data analysis.
Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we're here to support you in showcasing your full potential.
Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. This Candidate Privacy Notice explains how we collect, use, and protect your personal information when you apply for a role with us.
Skills Required
- 3-5 years of experience in Python programming and data structure and algorithms
- Experience in developing data pipelines for large-scale, complex datasets
- Moderate coding skills in SQL or similar
- Strong experience working with Python, Beautiful Soup, and web scraping
- Knowledge of cloud-based data technologies such as Azure Data Lake, Azure Data Factory, and Azure Data Bricks
- C# or other languages strongly preferred
What We Do
In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’🪫☀️🍃 Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation.
