Senior Data Engineer – Research IT & Analytics

CLSA; Hong Kong; On-site; HKD 700,000 - 950,000; Full time

Job summary

CLSA’s Research IT team seeks a detail-oriented data manager to design, maintain, and optimise data systems powering research and business operations. You will drive data pipelines, ensure data quality, and enable informed decision-making across global teams.

You will develop data solutions using Python and SQL, integrate BI dashboards with Qlik, and uphold data integrity and regulatory compliance for a fast-paced financial environment.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems or related discipline.
• 5–8 years of data engineering, database development or similar experience.
• Proficiency in SQL and Python with ETL workflows and data modelling.
• Strong analytical and problem-solving abilities with good communication.
• Fluent in English and Mandarin.

Responsibilities

• Database management: Maintain and optimise database systems, tables, views, and procedures to meet complex business logic and compliance needs.
• Collaborate with IT and business users to translate workflows into efficient data pipelines.
• Develop and deploy reliable data solutions using Python and SQL for business jobs and automated processes.
• Respond to time-sensitive data requests by validating, transforming, and extracting datasets with high data integrity.
• Integrate data into BI tools (Qlik, Power BI, Tableau) to create interactive dashboards for stakeholders.
• Diagnose and resolve performance issues through SQL tuning, indexing, and architectural improvements for high-volume systems.
• Partner with onshore teams to ensure data security and regulatory compliance across global environments.

Skills

SQL

Python

ETL

Data modelling

Analytical thinking

Communication skills

English & Mandarin

Education

Bachelor’s degree in Computer Science, Information Systems, or related discipline

Tools

Qlik

Power BI

Tableau

Job description

CLSA’s Research IT team seeks a detail-oriented data manager to design, maintain, and optimise data systems powering research and business operations. You will drive data pipelines, ensure data quality, and enable informed decision-making across global teams.

You will develop data solutions using Python and SQL, integrate BI dashboards with Qlik, and uphold data integrity and regulatory compliance for a fast-paced financial environment.