ClickHouse Engineer

ClickHouse EngineerSingapore (Office-based) or Remote (UK-based) | Full-TimeAbout UsReactive 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 RoleWe'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 OnCluster operations at scale - running, upgrading and evolving a multi-AZ ClickHouse estate on Kubernetes, with rehearsed backup and recoverySchema and query engineering - table and sorting-key design, partitioning, materialised views, and query optimisation against multi-terabyte datasetsCapacity and observability - a measured capacity model, storage tiering and retention, and the Grafana monitoring and alerting that keeps the plant's health visibleIngestion and data quality - correctness and completeness gates on the pipelines feeding the plant; reconciliation that proves nothing was droppedWorkload isolation - keeping ingest, operations, reporting and ad-hoc analytics from treading on each other as read load growsAI-assisted operations - modern tooling (including MCP-based AI access to the estate) that lets a small team run a large platform wellWhat We NeedTechnical: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 worksSQL depth - execution plans, query optimisation, and schema design for very large datasetsOperational/SRE experience - you have carried production responsibility for a data platform: monitoring, capacity, incidents, recoveryLinux and Kubernetes - comfort with the operational layer beneath the databaseA 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 properlyGit - excellent version-control practiceDistributed-systems fundamentals - replication, consistency, failure modesFinancial services experience is a plus but not essential - domain knowledge can be learned; operational instinct cannotHow you work:You own production. Calm in an incident, rigorous in a post-mortem, honest about what nearly went wrongYou measure first. Topology, storage and optimisation decisions follow observed load and cost - not fashionYou write things down.

Runbooks, schema documentation and clean handovers are part of the craftYou share knowledge deliberately. The goal is a platform supportable by a team, not a specialistYou communicate across time zones. Follow-the-sun only works with clear, proactive handoversYou embrace AI as a tool.

You use it to amplify your own effectiveness and help shape how it operates safely around production dataWhat You GetA serious estate - genuine scale, genuine criticality: the system of record for a live trading network, not a reporting sidecarReal ownership - shared responsibility for a business-critical core platform from day one, working directly with the platform's lead engineerAn excellent team - senior engineers who care about craft, collaborate openly, and hold each other to high standardsSustainable operations - follow-the-sun coverage by design; on-call is shared, contracted and planned, not heroicsCompetitive package - competitive compensation and

Benefits

aligned to your local marketModern tooling - AI-assisted operations and investigation tooling that removes toil rather than adding processGrowth - the estate is scaling to multiples of today's volume; the role grows with itWe believe in transparency, honest feedback, and writing things down. We celebrate delivery, not activity. We frame AI as empowering people - removing toil, amplifying capability, enabling higher-value work.Our Hiring ProcessWe keep our process focused and respectful of your time.

Our process follows three stages.Stage 1: Initial Conversation with Talent AcquisitionFormat: Video call, ~30-45 minutesStage 2: Hiring Manager Conversation with the relevant team lead or hiring managerFormat: Video call, ~60 minutesStage 3: Technical Interview with two members of the relevant engineering teamFormat: Video call, interactive session, ~60 minutesWhat to expect in each stage will be explained by Talent Acquisition if you're invited to interview. Throughout the process, we aim to keep momentum with no unnecessary delays between stages, and feedback typically comes within a few business days.*Please note that depending on availability, Stage 2 and 3 may swap around.

How to Apply

Please apply directly via this job posting - all applications, including those submitted via LinkedIn, are managed through our applicant tracking system, so you'll always land in the same place regardless of where you found this role.Right to Work: Candidates must have the existing right to work in the country associated with the location advertised for this role (UK or Singapore, as applicable). We are not currently able to offer visa sponsorship for this role in any location.Equal Opportunities: Reactive Markets is an equal opportunities employer. We welcome applications from all qualified candidates regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.Reasonable Adjustments: If you need any adjustments or support during the application or interview process, please let us know - we're happy to accommodate.Data Protection: By applying, you consent to Reactive Markets processing your personal data for recruitment purposes, in line with our privacy policy.#Hiring #ClickHouse #DataEngineering #SRE #FinTech #Singapore #London #OLAP #KubernetesOriginally posted on Himalayas