Python Data Engineer – Business Intelligence Focus, Career Growth

🏢 Energy Queensland📍 Toowoomba, QLD, Australia💼 Full-Time💻 On-site🏭 Utilities💰 80000-105000 per year

About the Company

Energy Queensland is a state-owned corporation responsible for the safe and reliable supply of electricity to 2.4 million customers across Queensland through its two retail businesses, Ergon Energy Retail and Energex. We are committed to powering Queensland’s future through innovation, sustainability, and data-driven decisions. Our Toowoomba office plays a crucial role in our regional operations, fostering a collaborative and growth-oriented environment.

Job Description

We are seeking a motivated Python Data Engineer with a strong interest in Business Intelligence to join our growing team in Toowoomba. This role is perfect for someone looking to advance their career, apply their Python expertise to complex data challenges, and contribute directly to critical business insights. You will be instrumental in designing, building, and maintaining robust data pipelines, ensuring data quality, and supporting BI initiatives that drive strategic decision-making across our organisation.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Python and relevant ETL tools.
  • Collaborate with BI analysts and business stakeholders to understand data requirements and translate them into technical solutions.
  • Ensure data quality, integrity, and reliability across all data sources.
  • Develop and optimise data models for reporting and analytical purposes.
  • Implement automated testing and monitoring frameworks for data pipelines.
  • Participate in code reviews and contribute to best practices in data engineering.
  • Troubleshoot and resolve data-related issues efficiently.
  • Continuously learn and apply new technologies to improve data infrastructure and processes.

Required Skills

  • Proficiency in Python programming for data manipulation and scripting.
  • Experience with SQL and relational databases (e.g., PostgreSQL, MySQL).
  • Familiarity with data warehousing concepts and ETL processes.
  • Understanding of data modelling techniques.
  • Ability to work effectively in a team environment.
  • Strong problem-solving and analytical skills.
  • Excellent communication skills.

Preferred Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with version control systems (e.g., Git).
  • Knowledge of data visualisation tools (e.g., Power BI, Tableau).
  • Experience with Apache Airflow or similar orchestration tools.
  • Understanding of Big Data technologies (e.g., Spark).

Perks & Benefits

  • Competitive salary package with annual reviews.
  • Generous superannuation contributions.
  • Flexible working arrangements (e.g., RDOs).
  • Comprehensive health and wellness programs.
  • Ongoing professional development and training opportunities.
  • Mentorship and career growth pathways.
  • Collaborative and supportive team culture.
  • On-site parking.
  • Employee assistance program.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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