Database Engineer (ClickHouse)

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Infrastructure Database team responsible for managing and optimising large-scale database systems supporting research and trading activities. The team works closely with Quantitative Researchers, Developers, and Data Engineers to ensure reliability, scalability, and performance of critical data infrastructure.

Your Future Role within QRT
You will:

Administer and maintain ClickHouse clusters in distributed environments

Configure and manage replication, sharding, and distributed table architectures

Operate and maintain ClickHouse Keeper or ZooKeeper

Manage data lifecycle processes including partitioning, TTL, and merge operations

Monitor database performance and troubleshoot issues in high-throughput environments

Optimise query performance through indexing strategies, partitioning, and projections

Manage system resources including CPU, memory, and disk I/O for database workloads

Design and implement high availability and disaster recovery solutions

Support database environments across production and non-production setups

Implement and maintain access control, roles, and security policies

Work with data ingestion pipelines including streaming and batch frameworks

Contribute to database reliability, observability, and scalability improvements

Your Present Skillset

5+ years of experience in database administration in production environments

Strong experience with ClickHouse in distributed or clustered setups

Solid understanding of replication, sharding, and distributed database architectures

Experience with ClickHouse Keeper or ZooKeeper

Strong knowledge of performance tuning, monitoring, and troubleshooting

Experience supporting high-ingestion and large-scale analytical workloads

Proficiency in SQL and database design principles

Experience with UNIX/Linux systems and system-level performance tuning

Knowledge of high availability and disaster recovery strategies

Familiarity with data ingestion frameworks such as Kafka or streaming pipelines

Experience with PostgreSQL or SQL Server

Strong attention to detail with a focus on testing and documentation

Ability to work effectively in a collaborative environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

 
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