Data Analytics Engineer (Bank / Finance, BI / ETL / Data Modelling, 40-46K)

SW9018 |22 Jul 2026 Data Analytics Engineer (Bank / Finance, BI / ETL / Data Modelling, 40-46K)

• Translate business needs into scalable analytics models and ETL designs with cross-functional teams.
• Lead workshops to define requirements, align expectations, and resolve client inquiries.
• Design storage structures and reconciliation checks; standardize exception controls for easy troubleshooting.
• Author clear documentation for functional and non-functional solution requirements.
• Architect adaptable data models that support growth while minimizing change risk and costs.
• Evaluate new data sources using structured frameworks to assess integration impact.
• Resolve data discrepancies and convert business logic into scalable technical workflows.

• Bachelor’s degree in Computer Science, Data Engineering, Mathematics, Statistics, Business, or a related field.
• 5+ years in IT, including 2+ years in BI, data migration, or data warehouse pipelines, and 3+ years in Oracle or SQL Server development.
• Strong background in data modeling (Star/Snowflake), quality metrics, DDL/DML, and PL/SQL Stored Procedures.
• Hands-on experience modeling, deploying, and tuning Power BI and SSAS servers, including RLS and M scripting.
• Knowledge of Hadoop, Python, Java Spring Boot, Docker, or OCP is a plus.
• Fluent in written and spoken English and Chinese (Mandarin and Cantonese).
• Proactive problem solver with strong multitasking abilities.
• Benefits:
• 35-45K Depends on Experience
• 10-20 Days Annual Leave
• 5-day Work Week
• Friendly and Energetic Working Environment