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Data Operations Engineer (Data SRE) Leading High Frequency Trading Firm London

ExperiencedNo visa sponsorship
Oxford Knight logo

at Oxford Knight

Recruitment Agencies

Posted 12 days ago

No clicks

**Job Title:** Data Operations Engineer (Data SRE) at a Leading High-Frequency Trading Firm in London Responsibilities include bolstering data systems' reliability, scalability, and performance. Key tasks involve monitoring, alerting, and troubleshooting high-volume, low-latency data pipelines and services. Ensure system availability, optimize resource utilization, and drive Infrastructure as Code (IaC) initiatives. Collaborate cross-functionally to design, implement, and maintain state-of-the-art data infrastructure. Required skills and experience: - Proficient in Python, Bash, and Linux/Unix environments. - Extensive experience (5+ years) with data systems, SRE, or similar roles. - Deep understanding of cloud platforms, preferably AWS or GCP. - Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools. - Strong background in data pipeline tools like Apache Kafka, Parquet, or Avro. - Familiarity with monitoring tools such as Prometheus, Grafana, and Datadog. - Desire for continuous learning and improvement in a dynamic, high-pressure environment. - Degree in Computer Science, Engineering, or a related field.

Compensation
Not specified GBP

Currency: £ (GBP)

City
London
Country
United Kingdom

Full Job Description

Company: Leading High Frequency Trading Firm | Location: London | Type: Permanent Data Operations Engineer (Data SRE) Leading High Frequency Trading Firm London

Data Operations Engineer (Data SRE) Leading High Frequency Trading Firm London

Compensation

Not specified GBP

City: London

Country: United Kingdom

Oxford Knight logo
Recruitment Agencies

12 days ago

No clicks

at Oxford Knight

ExperiencedNo visa sponsorship

**Job Title:** Data Operations Engineer (Data SRE) at a Leading High-Frequency Trading Firm in London Responsibilities include bolstering data systems' reliability, scalability, and performance. Key tasks involve monitoring, alerting, and troubleshooting high-volume, low-latency data pipelines and services. Ensure system availability, optimize resource utilization, and drive Infrastructure as Code (IaC) initiatives. Collaborate cross-functionally to design, implement, and maintain state-of-the-art data infrastructure. Required skills and experience: - Proficient in Python, Bash, and Linux/Unix environments. - Extensive experience (5+ years) with data systems, SRE, or similar roles. - Deep understanding of cloud platforms, preferably AWS or GCP. - Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools. - Strong background in data pipeline tools like Apache Kafka, Parquet, or Avro. - Familiarity with monitoring tools such as Prometheus, Grafana, and Datadog. - Desire for continuous learning and improvement in a dynamic, high-pressure environment. - Degree in Computer Science, Engineering, or a related field.

Full Job Description

Company: Leading High Frequency Trading Firm | Location: London | Type: Permanent Data Operations Engineer (Data SRE) Leading High Frequency Trading Firm London