Data Software Engineer

Job Description

Are you ready to shape the future of data-driven sustainability Based in Bellville this Data / Software Engineer role offers the opportunity to take ownership of the data layer within a cutting-edge in-house platform. Youll be at the heart of building scalable data architectures enhancing automation and bridging the gap between software development and business intelligence. This position is ideal for a technically sharp analytically minded professional who thrives on solving complex data challenges and transforming raw information into actionable insights. By driving best practices across cloud environments optimizing data pipelines and enabling seamless integration with BI tools youll empower stakeholders to make smarter faster and more sustainable decisions.

Responsibilities:

• Data-focused software development
  • Evaluate optimise and implement improvements to data flow architecture to ensure efficiency scalability and reliability.
  • Identify and resolve bottlenecks or inefficiencies in data pipelines.
  • Collaborate with teams to streamline data collection integration and transformation processes.
  • Support integration of data between the database and BI reporting layers.
  • Design develop and maintain scalable APIs and automated data pipelines for data ingestion from various sources.
  • Driving best-practise across our GCP layer.
• SQL development
  • Write efficient SQL queries to solve problems and add technical features given business logic requirements from Product Owner.
  • Update and maintain existing reporting platforms and tools.
  • Find data quality issues trends actionable insights and project opportunities within the data.
  • Develop and implement automated reporting solutions to reduce manual effort and improve accuracy.
• Subject matter
  • Research and investigations into companys business-related topics (e.g. energy water load shedding municipal utility tariffs ESG standards etc.).
  • Ongoing drive to ensure best-practise data principals are adhered to.
• Other
  • Investigating and implementing machine learning for functionalities such as data simulations.
  • Updating and creating technical documentation.
  • Teamwork and collaboration within the Software Development and Analyst teams.
  • Peer reviews of technical work as well as mentorship of junior resources.

Requirements:

• Bachelors degree in an Engineering Programming Data Science or similar discipline.
• At least 3 years of relevant work experience in Data Engineering Software Development or related fields.
• Proficient in working with multiple datasets from different sources with a strong understanding of how to leverage existing tools and methods to solve data-related problems.
• Skilled at data cleaning aggregation and the automation of repetitive data processing pipelines using software tools.
• Demonstrated understanding of data processing principles data warehousing cleaning ETL and building scalable models and data pipelines data should be of a technical nature such as Engineering data.
• Able to write efficient SQL queries to solve problems and add technical features given business logic requirements from Product Owner.
• Experience working with GCP (Google Cloud Platform) SQL and Google BigQuery or similar.
• Ability to work within tight deadlines in a high-pressure environment.
• Strong logical and systematic thinking with an eye for finding insights and solutions within data.
• Attention to detail with high level of accuracy and quality assurance.

Beneficial

• Experience with Microsoft Excel.
• Experience with using software for data processing (e.g. Python R Matlab).
• Experience with development of BI tools (e.g. Power BI Tableau).
• An understanding of basic electrical systems energy assets utilities and sustainability principals.
• Exposure to the Energy Management or Sustainability industries.
• Comfortable with Agile development processes.
• Mentorship experience of junior resources.