ClickHouse Engineer

🕒 il y a 1 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👷🏻‍♀️ Ingénieur

👻 Score fantôme 21%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

Amazon Redshift

BigQuery

Grafana

Kubernetes

Linux

Python

SQL

Go

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Logo of Reactive Markets

Reactive Markets

11 - 50 employés

Fondée en 2019

💳 Fintech

🤝 B2B

💸 Finance

Fintech • B2B • Finance

Reactive Markets est une entreprise d'infrastructure financière qui fournit une connectivité et une exécution à latence ultra-faible pour le trading institutionnel dans les domaines des changes (FX), des actions et d'autres classes d'actifs. Son réseau connecte les clients à plus de 35 fournisseurs de liquidité avec une latence de bout en bout déterministe inférieure à 50 microsecondes, accessible via une API unique, une interface utilisateur ou des intégrations avec des systèmes de gestion d'exécution (EMS), des systèmes de gestion d'ordres (OMS) ou des moteurs de tarification. La plateforme est conçue pour le trading bilatéral, les stratégies systématiques et manuelles, et offre des rapports de latence en temps réel, des analyses, un déploiement mondial (New York, Londres, Singapour) et des services réglementés par la FCA pour les participants professionnels du marché.

Description

• 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

🎯 Exigences

• 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 • Distributed-systems fundamentals — replication, consistency, failure modes • Financial services experience is a plus but not essential — domain knowledge can be learned; operational instinct cannot

🏖️ Avantages

• A serious estate — genuine scale, genuine criticality: the system of record for a live trading network, not a reporting sidecar • Real ownership — shared responsibility for a business-critical core platform from day one, working directly with the platform's lead engineer • An excellent team — senior engineers who care about craft, collaborate openly, and hold each other to high standards • Sustainable operations — follow-the-sun coverage by design; on-call is shared, contracted and planned, not heroics • Competitive package — competitive compensation and benefits aligned to your local market • Modern tooling — AI-assisted operations and investigation tooling that removes toil rather than adding process • Growth — the estate is scaling to multiples of today's volume; the role grows with it

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