Elastic Data Engineer

Location: London, England
Salary: £50,000 – £104,000
Employment Type: Full-time

 

About the Company

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London headquarters, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution—because the best ideas take time to evolve.

Together, we are building a world-class platform that amplifies our teams’ most powerful ideas and supports high-impact research across the firm.

The Role

We are seeking an experienced Elastic Data Engineer to lead the design, implementation, and ongoing management of log ingestion pipelines and data strategy within the Elastic SIEM ecosystem.

Reporting to the Security Engineering Manager, this role is ideal for someone eager to shape long-term security data strategy, mentor junior engineers, and collaborate across teams to deliver reliable and scalable security data services.

Key Responsibilities

  • Design, implement, and maintain scalable log ingestion pipelines into Elastic SIEM
  • Define and enforce data governance policies, including integration, retention, redaction, and access controls
  • Optimise data models and indexing strategies for performance and cost efficiency
  • Ensure data quality for security detection, threat hunting, and compliance
  • Collaborate with platform engineers to ensure reliable data flows and system scalability
  • Mentor junior engineers on data engineering best practices and tooling
  • Contribute to the broader Azure logging strategy and system integrations
  • Drive the development of a coherent security data strategy aligned with business and regulatory needs

Required Skills and Experience

  • Strong experience with Elastic Stack, including Ingest Pipelines, Logstash, Beats, Kafka, or similar tools
  • Expertise in data modelling, indexing, and optimisation within Elastic
  • Proven experience designing scalable log collection and processing architectures
  • Solid understanding of data governance, compliance, and retention strategies
  • Familiarity with security data sources such as cloud logs, endpoint logs, and network telemetry
  • Experience with cloud platforms including Azure, AWS, or Google Cloud Platform
  • Demonstrated experience mentoring or developing junior engineers

Behavioural Competencies

  • Strategic thinking with the ability to define and execute long-term data strategies
  • Strong attention to data quality, consistency, and reliability
  • Clear communication of complex technical concepts to diverse stakeholders
  • Leadership skills with a passion for mentoring and team development
  • Collaborative mindset aligned with business and security goals

Why Apply?

  • Highly competitive salary with annual discretionary bonus
  • Lunch provided via Just Eat for Business and an on-site barista bar
  • 30 days annual leave
  • 9% company pension contribution
  • Informal dress code and excellent work-life balance
  • Comprehensive healthcare and life assurance
  • Cycle-to-work scheme
  • Monthly company social events

 

Apply now

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