About the Role

We are looking for an experienced Database Engineer / Data Engineer to support a high-volume, regulated environment within the securities domain. This role focuses on building and optimizing database solutions, developing reliable data pipelines, and enabling business intelligence reporting while ensuring strong compliance and data governance standards.

You will work closely with IT teams and business stakeholders to translate operational and regulatory requirements into scalable, efficient data solutions.

Key Responsibilities

Database Development & Management

• Design, maintain, and optimize database structures including tables, views, and stored procedures.

• Implement complex business logic while ensuring compliance and operational integrity.

Data Pipeline & Automation

• Develop and deploy reliable data solutions using Python and SQL.

• Build and maintain automated workflows to support business jobs and operational processes.

Cross-functional Collaboration

• Partner with technology teams and business users to understand end-to-end workflows.

• Translate requirements into efficient and scalable data pipeline designs.

Ad Hoc Data Support

• Respond to time-sensitive data requests by extracting, transforming, validating, and delivering datasets.

• Ensure strict confidentiality, integrity, and quality across all outputs.

BI & Reporting Enablement

• Integrate data into BI tools (e.g., Qlik) to support dashboards and interactive reporting.

• Enable data-driven decision-making for stakeholders.

Performance Optimization

• Diagnose and resolve database performance issues (latency, query inefficiency, scalability constraints).

• Apply SQL tuning, indexing strategies, and architectural improvements to support high-volume transaction systems.

Compliance & Global Collaboration

• Work with onshore and offshore teams to enhance system maturity.

• Maintain strong security, governance, and compliance standards aligned with regulatory frameworks.

Requirements

• Bachelors degree or above in Computer Science, Information Systems, or a related field.

• Minimum 8 years of relevant experience in data engineering, database development, or similar roles (financial/securities industry preferred).

• Strong proficiency in SQL and Python.

• Solid understanding of ETL workflows and data modelling.

• Strong analytical thinking, attention to detail, and problem-solving skills.

• Excellent communication skills.

• Fluent in English and Mandarin (spoken and written).

• Experience with BI tools such as Qlik, Power BI, or Tableau.

• Exposure to cloud-based data environments.