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Associate Software Engineer - Level II (Data & Analytics Engineer)
H Connect Internationallinkedin.com
Oct 6, 2026, 8:56 AM3w ago
Full-timeColombo, Western ProvinceData analyticsJunior (3+ yrs)
About the role
The Associate Software Engineer - Level II (Data & Analytics Engineer) will be responsible for designing and building data pipelines and ETL processes, developing and maintaining data models, and creating Power BI dashboards and reports. The role involves optimising SQL queries, applying data structures and algorithms, and using version control and CI/CD practices in data engineering projects. The engineer will also contribute to data warehouse design and work closely with stakeholders to deliver reliable data solutions. The position requires a strong background in data engineering, analytics, and business intelligence, with a focus on SQL, data modelling, and data visualisation.
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
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