Azure, or GCP). Solid understanding of version control systems (Git, GitLab, GitHub). Excellent problem-solving and debugging skills. Preferred Qualifications Experience with databases such as PostgreSQL , InfluxDB, TimescaleDB, Redis. Familiarity with GraphQL , RESTful API design, and integration. Exposure to other languages (Python, Java, C/C++). Knowledge of Infrastructure as Code (IaC) and DevOps methodologies. Understanding of More ❯
Employment Type: Full-Time
Salary: £65,000 - £70,000 per annum, Pro-rata, Inc benefits
Azure, or GCP). Solid understanding of version control systems (Git, GitLab, GitHub). Excellent problem-solving and debugging skills. Preferred Qualifications Experience with databases such as PostgreSQL , InfluxDB, TimescaleDB, Redis. Familiarity with GraphQL , RESTful API design, and integration. Exposure to other languages (Python, Java, C/C++). Knowledge of Infrastructure as Code (IaC) and DevOps methodologies. Understanding of More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. More ❯
