Developer (Python & React)

Blunomy; Sydney; Hybrid; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid working environment

Offices in Sydney or Melbourne

Company bonus scheme

Job summary

Blunomy in Australia seeks a Python and React Developer to strengthen our software products and data pipelines for energy and environment projects. You will contribute to robust, scalable code, collaborate in a fast-paced team, and help deliver dashboards and APIs.

Required hands-on coding, data analytics knowledge, and experience with Git and cloud platforms. Hybrid work from Sydney or Melbourne offices offered.

Qualifications

• Degree in Computing Science, Statistics, Mathematics or Engineering.
• Strong knowledge of data analytics and ML concepts.
• Experience with data pipelines, dashboards, and APIs.
• Proficient with Python or R and Git for version control.

Responsibilities

• Deliver robust, scalable software and data engineering solutions.
• Develop dashboards and data pipelines to measure impact.
• Participate in code reviews, debugging, and refactoring.
• Collaborate with product managers and domain experts to deliver high‑quality solutions.

Skills

Statistical ML concepts

Analytical skills

Fluent English

Python

R

Git

Education

Computing Science or related degree

Tools

Python

R

Git

Cloud platforms

Job description

The Developer focus will be on increasing the robustness, maintainability and consistency of the existing product portfolio, by delivering robust, scalable software and data engineering solutions. As a Python and React Developer you will contribute to the development and maintenance of state-of-the-art software products and data pipelines within a fast-moving collaborative environment. In this setting, you will be exposed to a diversity of current energy challenges, leveraging your engineering and problem-solving skills to address them.

1. Deliver Data Solutions

• Participate in code reviews, ensuring code quality and identifying areas for improvement
• Diagnose and debug any identified issues
• Work within a coding team to build code, modify code, commit code to source control through pull request
• Apply statistical and analytical techniques to extract insights from energy and environmental datasets
• Assist manager or a principal to inform commercial proposal methodologies

2. Software Development & Tools

• Support development of digital solutions and dashboards that measure impact and transition progress.
• Build scalable and reliable data pipelines and APIs to support our software products
• Support the development of robust data pipelines and ensure data integrity and reproducibility.
• Improve the maintainability and consistency of the codebase through refactoring and the adoption of software engineering best practices
• Use software engineering principles to write clean, efficient, and scalable code.
• Collaborate on tool development used in production environments (e.g., PV connection approval tool, low-voltage network mapping)

3. Project Support

• Work collaboratively under the supervision managers to deliver work packages on time and to standard.
• Assist in documenting methods, results, and datasets for internal and client use.
• Contribute to testing, quality assurance, and version control (e.g., Git)
• Participate in actions/projects to assist the company in achieving greater efficiency, supervised by a manager or a principal.

4. Collaboration & Communication

• Work within a coding team to build code, modify code, commit code and proactively share knowledge with the team
• Actively participate in project discussions, reviews, and learning sharing sessions.
• Collaborate with product managers, project managers, and domain experts to deliver high-quality solutions on time.
• Communicate clearly with both technical and non-technical audiences.
• Participate in presenting findings and recommendations to clients, under the supervision of managers or principals.
• Demonstrate the required Blunomy professional behaviours and values

Completed a degree or a postgraduate qualification in a relevant discipline such Computing Science, Statistics, Mathematics or Engineering Passion for energy, environment and/or sustainable development Strong interest in data analytics Knowledge of statistical and machine learning concepts and algorithms Experience with the data science tool kit:Python or RSource control (such as Git) Software engineering and app development skills Knowledge of cloud computing (such as Azure, GCP, AWS) is a plus Parallel computing (such as Spark or Dask) is a plus Developer tool kit: Good oral and written communication An ability to work to project timelines Strong analytical and problem-solving skills Ability to use a range of AI tools to assist and enhance the quality and efficiency of your work Ability to work collaboratively in a fast-paced, project-based environment. Fluent in English

Why work for Blunomy?

You will be joining a passionate group of professionals, aligned in our mission. At Blunomy you are more than a ‘cog in the machine’, you will have the ability to make a real and lasting impact across the business. We are focused on finding the right people to journey with us, and to those who do, we offer:

Working with a team who have diverse skills, expertise and are purpose driven Competitive remuneration Ability to participate in the company bonus scheme Hybrid working environment and offices based in either Melbourne or Sydney Ability to be part of a global team sharing knowledge and expertise Ongoing learning and development opportunities Weekly team lunch/breakfast Access to our Employee Assistance Program to support your well being Salary: Depending on experience Employment Type: Full time starting ASAP