ClickHouse Engineer

Reactive Markets; Barnby in the Willows CP; On-site; GBP 90,000 - 130,000; Full time

Job summary

Reactive Markets is seeking a ClickHouse Engineer to co-own a multi-datacentre data plant. You’ll work on cluster operations, schema design, ingestion pipelines, and performance tuning across Kubernetes. The role emphasizes production stability, capacity planning, and cross-timezone support (Singapore/London).

You’ll join a small, senior team and contribute to reliability and scale. This is a core-platform engineering position with emphasis on practical ownership, incident response, automation,

Qualifications

• Experience operating a production data platform
• Ownership of capacity planning and recovery procedures
• Ability to work across time zones and on-call rotation
• Strong knowledge of columnar/OLAP databases and large-scale time-series
• Proficiency in scripting/automation and monitoring tooling
• Excellent documentation and architectural thinking

Responsibilities

• Cluster operations at scale with multi-AZ ClickHouse on Kubernetes
• Schema and query engineering for large datasets
• Capacity planning, observability and storage tiering
• Ingestion pipelines and data quality controls
• Workload isolation for ingested, reporting and ad-hoc analytics
• AI-assisted operations and modern tooling support

Skills

Columnar/OLAP engineering

SQL depth

Linux and Kubernetes

Programming languages (Python, Go, R,

Engineering discipline

Git

Tools

Kubernetes

Job description

About Us

Reactive Markets is the

Singapore (Office-based)| Full-Time

About Us

Reactive Markets is the 2026 OTC Trading Platform of the Year (Risk.net). Our network handles over $50 billion in daily trading volumes across FX, Equities, and Cryptocurrency, connecting 40+ of the world's leading liquidity providers. We build trading systems that operate at the edge of what's technically possible - where nanoseconds matter and a dropped message costs real money. Our engineering team is small, senior, and deeply invested in the craft of building cutting edge, reliable, high-performance systems.

The Role

We're looking for a ClickHouse Engineer to share ownership of our data plant: a multi-datacentre, multi-AZ ClickHouse cluster ingesting billions of rows a day, underpinning compliance, billing, and a growing family of real-time and historical analytics. This is a core-platform engineering role, not a DBA role. You'll work across the full engineering scope of a serious ClickHouse estate: cluster operations and upgrades, schema and sorting-key design, materialised views, ingestion performance, query optimisation, workload isolation, capacity planning, storage tiering, backup and recovery, monitoring and alerting, and production support. You'll also work on the data pipelines around the plant - our capture services are Go, and our analytics foundation is Python. You don't need years of ClickHouse specifically - deep experience with another columnar or large-scale time-series database qualifies you, and a strong columnar engineer learns our estate quickly. What we do need is genuine operational depth: you have run a production data platform, owned its capacity plan and its recovery procedures, and stayed calm when it mattered. This hire completes a follow-the-sun team - based in Singapore (office-based) or London - so the platform is supported across time zones rather than by heroics. On-call is a shared, contracted responsibility, planned and paid - not goodwill.

What You'll Work On

• Cluster operations at scale - running, upgrading and evolving a multi-AZ ClickHouse estate on Kubernetes, with rehearsed backup and recovery
• Schema and query engineering - table and sorting-key design, partitioning, materialised views, and query optimisation against multi-terabyte datasets
• Capacity and observability - a measured capacity model, storage tiering and retention, and the Grafana monitoring and alerting that keeps the plant's health visible
• Ingestion and data quality - correctness and completeness gates on the pipelines feeding the plant; reconciliation that proves nothing was dropped
• Workload isolation - keeping ingest, operations, reporting and ad-hoc analytics from treading on each other as read load grows
• AI-assisted operations - modern tooling (including MCP-based AI access to the estate) that lets a small team run a large platform well

Technical

What We Need

• Columnar/OLAP database engineering - ClickHouse strongly preferred; deep experience with another columnar or large-scale time-series store (BigQuery, Redshift, Druid, kdb+ or similar) also works
• SQL depth - execution plans, query optimisation, and schema design for very large datasets
• Operational/SRE experience - you have carried production responsibility for a data platform: monitoring, capacity, incidents, recovery
• Linux and Kubernetes - comfort with the operational layer beneath the database
• A programming language - one of Python, Go, R, or MATLAB (Python preferred)
• Engineering discipline - you write proposals, strategies, and architectural documents and diagrams well, and you manage change properly
• Git - excellent version-control practice