Database Engineer (ClickHouse)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Database Engineer (ClickHouse) London 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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.