Database Engineer Tier 1 Buyside Firm Quantitative Trading Firm & Market Maker - Hong Kong

My client is a global quantitative high-frequency trading firm powered by technology, data, and scientific rigor; operating across trading and research platforms where reliability, data integrity, and performance are non-negotiable.

As they scale, my client is hiring a Database Engineer to own database infrastructure across trading, post-trade processing, and large-scale data systems. This role blends deep database administration with automation and collaboration with trading/research teams.

Responsibilities

1. Deploy, scale, secure, and manage production database systems (PostgreSQL, MySQL, ClickHouse, SQL Server, Oracle, NoSQL, etc.)
2. Automate database operations (provisioning, replication, failover, backups) using Python, Go, or shell scripting to reduce operational toil
3. Design and maintain high availability, disaster recovery, and replication strategies for critical trading systems
4. Monitor database performance, tune queries, manage capacity planning, and troubleshoot issues
5. Work closely with trading, research, and engineering teams on schema design, data architecture planning, and technology selection
6. Build and manage ETL pipelines; support petabyte-scale data warehouses and distributed database systems
7. Manage database security, permissions, and access controls
8. Participate in a global on-call schedule for database incidents
9. Create and maintain technical documentation

Requirements

1. 5+ years in production database administration (at least 2 of: PostgreSQL, SQL Server, MySQL, Oracle, ClickHouse, or NoSQL)
2. Strong Linux production experience; comfortable using the shell to troubleshoot database and system issues
3. Proficiency in Python or Go for automation tasks; strong SQL skills (T-SQL, PL/pgSQL, etc.)
4. Solid understanding of replication, backup/recovery, performance tuning, and capacity planning
5. Experience with database monitoring and observability tools (e.g., Prometheus, Splunk, CloudWatch, Datadog)
6. Familiarity with Jenkins or similar CI/CD pipelines
7. Organized, proactive, able to work under pressure, and comfortable owning projects end-to-end
8. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Nice to have / preferred

1. Experience in financial services / trading environments, particularly post-trade processing systems
2. Petabyte-scale data warehouse or distributed database experience (Cassandra, etc.)
3. Cloud database administration (AWS RDS/Aurora, etc.)
4. Proficiency with pandas, Jupyter, or AI coding tools
5. BI services (SSIS, SSRS, SSAS)

What the Firm Offers:

1. Collaborative, intellectually driven culture.
2. Healthy work-life balance with reasonable hours.
3. Free breakfast and lunch, gym reimbursement, social events.
4. Private healthcare, education assistance, and corporate discounts.
5. Flat hierarchy and greenfield impact

Please send your CV to Wisely Collin at [email protected], or call +852 9057 9944 for a confidential discussion.