Data & Analytics Engineer (AUS Calendar - AUS Shift)
About the role
The Associate Software Engineer - Level II (Data & Analytics Engineer) 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 structured reporting and analytics, writing and optimizing SQL, building Power BI dashboards, and applying data structures and algorithms for scalable data processes. The engineer will also apply version control and CI/CD practices, use AI tools for data engineering and reporting, contribute to data warehouse and database administration, and work closely with stakeholders to understand and translate reporting needs. The company offers opportunities to work in diverse, international environments and emphasizes continuous learning and career growth.
Must have
- Relevant academic and/or professional qualifications in Computer Science, Data Science, Software Engineering, Computer Engineering, or a related field.
- Minimum of 3 – 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
The position follows the Australian calendar and shift. Candidates' CVs will be added to the talent database for future opportunities. The company is an equal opportunity employer and values diversity and inclusion. Exposure to Azure, data warehousing, database administration, or solution architecture is considered an added advantage.
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