Data & Analytics Engineer (AUS Calendar - AUS Shift)
About the role
The Data & Analytics Engineer (AUS Calendar - AUS Shift) at H Connect International is responsible for designing and building data pipelines and ETL processes to move and transform data reliably across company systems. The role involves developing and maintaining data models for reporting and analytics, writing and optimizing SQL, building Power BI dashboards, and applying data structures and algorithms for scalable processes. The engineer will also use version control and CI/CD practices, apply AI tools, and contribute to data warehouse design and administration. The company offers opportunities to work in international environments and supports continuous learning and career growth within an inclusive and collaborative culture.
Must have
- Relevant academic and/or professional qualifications in Computer Science, Data Science, Software Engineering, Computer Engineering, or a related field.
- Minimum of 5 years of experience in data engineering, data analytics, business intelligence, SQL development, or a similar role.
- Strong SQL skills, with the ability to write and optimise complex queries across large datasets.
- Solid experience in data modelling and structuring data for reliable and maintainable reporting.
- Hands-on experience in building data pipelines and ETL processes, as well as developing data visualisations and dashboards, preferably using Power BI.
- Good understanding of data structures and algorithms.
- Practical experience with version control tools such as Git and CI/CD pipelines, with exposure to Azure, data warehousing, database administration, or solution architecture considered an added advantage.
- Working knowledge of AI-assisted tools and the ability to apply them to support data engineering and analysis activities.
- Strong analytical and problem-solving skills with excellent attention to detail, effective communication skills, and the ability to work independently.
Technologies
- Azure
- CI/CD
- Data Analytics
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Science
- Data Visualization
- Data Warehousing
- ETL
- Git
- Power BI
- SQL
Highlights
This position operates on the Australian calendar and shift. Candidates must be willing to work these hours. Applications are submitted via the 'APPLY NOW' button, and CVs may be added to the company's talent database for future opportunities.
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