Data & Analytics Engineer (AUS Calendar - AUS Shift)
First seen by Alion on Oct 29, 2026.
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DATA & ANALYTICS ENGINEER (AUS GALENDAR - AUS SHIFT}
H Connect International (A Hirdaramani Group Venture) is a leading global Business Process Management (BPM) and outsourcing company, delivering a broad range of services across Finance & Accounting, Customer Services, Procurement, Analytics, and
Technology solutions to clients worldwide. H Connect International partners with clients across industries, including Fashion &
Apparel, Real Estate, Travel & Leisure, Manufacturing, Insurance, Financial Services, Retail & Consumer Packaged Goods, Shipping
& Logistics, and Healthcare and Professional Services. H Connect International provides professionals with opportunities to work in diverse, international environments and develop future-ready skills within an inclusive and collaborative culture, focused on continuous learning and career growth.
Design and build data pipelines and ETL processes to move and transform data reliably across company systems.
Develop and maintain data models that support reliable, well-structured reporting and analytics.
Write and optimise SQL across data pipelines, reporting layers, and ad hoc analysis.
Build and maintain Power BI dashboards and reports that provide stakeholders with clear, accurate visibility into business performance.
Apply data structures and algorithms thinking to design efficient, scalable data processes.
Apply version control and Cl/CD practices to data pipeline and analytics code, ensuring changes are tested and deployed safely.
Apply Al tools and literacy to accelerate data engineering, analysis, and reporting work.
Contribute to data warehouse design, database administration, or solution architecture where relevant.
Work closely with stakeholders across the business to understand reporting needs and translate them into reliable data solutions.
Requirements:
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 Cl/CD pipelines, with exposure to Azure, data warehousing, database administration, or solution architecture considered an added advantage.
Working knowledge of Al-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.
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We pride ourselves in being an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all.
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- Employment: Full Time, Permanent, Onsite
- Closing date: 6 Nov 2026
- Job ref: 1565824