Data & Analytics Engineer (AUS Calendar - AUS Shift)

H Connect International (Pvt) Ltdtopjobs.lk

Oct 9, 2026, 9:00 PM2w ago

Full-timeNot specifiedData analyticsSenior (5+ yrs)

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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 data processes. The engineer will also apply version control and CI/CD practices, use AI tools for data engineering and reporting, and collaborate with stakeholders to understand and deliver on reporting needs. H Connect International is a global BPM and outsourcing company offering opportunities for growth in a collaborative environment.

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 follows the Australian calendar and shift. The company values diversity and is an equal opportunity employer. Candidates' CVs may be added to a talent database for future opportunities within the organization.