Description:
Energy is the primary input to everything. Our continued prosperity is dependent on reliable, affordable, clean electricity.
Enoda is an innovator in energy platforms, developing advanced technologies for grid operators and developers that remove constraints to decarbonisation.
Integrated hardware and software solutions slot into existing infrastructure, enabling the grid to become self-balancing and the primary provider of system stability.
We are a mission-driven organisation committed to enabling humanity to prosper on 100% renewable energy. We are averse to introducing bureaucracy and are building a working culture that enables us to achieve our purpose and change the world.
As a Software Data Engineer at Enoda, you'll spend your time
- Designing, developing, and testing software to build our digital twin technology
- Working closely with other engineers, scientists, and product managers to create innovative solutions
- Staying up to date on the latest trends in software development, focusing on our digital twin technology
- Contributing to the development of our company's digital twin strategy
- Defining and documenting best practices and strategies regarding application deployment and maintenance
- Ensuring application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
- Working with key business stakeholders, IT experts and subject-matter experts to plan and deliver optimal analytics and data science solutions
The key experience we're looking for
- Minimum 3+ years of experience in software development
- Fully conversant with Agile and DevOps development methodology and concepts as applied to data-driven analytics projects. Including CI/CD Coding, security testing best practices and standards
- Competent in at least one programming language (e.g. Java, Python, C/C++) and understand the basics of configuration and version management using tools such as Git
- Experience with software development tools such as Eclipse, IntelliJ IDEA, or Visual Studio
- Strong problem-solving and analytical skills
- Proven ability to collaborate with multidisciplinary teams of business analysts, developers, data scientists, and subject-matter experts
- Excellent written and oral communication skills, and the ability to establish strong, positive working relationships and rapport with diverse groups of team members
- Bachelor's degree in computer science or a related field
The following skills are advantageous:
- Experience in modelling physical systems
- Knowledge of data science and/or machine learning
- Knowledge of Matlab
- Experience with cloud computing platforms