Elastic Security Engineer (Contract)

G-Research; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Lunch provided and barista bar

Informal dress code & work‑lifeBalance

Monthly company events

Job summary

G-Research in London seeks an Elastic Security Engineer to design scalable security data pipelines, implement ingestion into Elastic SIEM, and elevate data quality across cloud and on-prem environments.

You will collaborate with SOC, CSIRT, and Platform teams, apply Python or Bash scripting, and shape a long-term data strategy that supports detection, threat hunting and compliance within a fast-moving quantitative finance firm.

Qualifications

• Strong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similar.
• Expertise in Elastic data modelling, indexing and performance optimisation.
• Experience designing scalable log collection and processing architectures.
• Knowledge of data governance, retention and security telemetry across cloud, endpoint and network.
• Experience with Azure, AWS, GCP or hybrid environments.

Responsibilities

• Acting as the technical authority and SME for security data within the Elastic Security ecosystem.
• Designing, implementing and maintaining scalable security data ingestion pipelines into Elastic SIEM.
• Owning the onboarding, tuning, normalisation and stabilisation of security data feeds across cloud, endpoint, network and SaaS sources.
• Defining and continuously improving data quality standards to support detection, investigation and threat hunting.
• Contributing to the operation, performance and evolution of the Elastic Security platform.
• Applying software engineering and scripting skills, including in Python or Bash, to automate ingestion, validation, monitoring and operational workflows.
• Supporting configuration as code and infrastructure as code to improve consistency and scalability across security tooling.
• Driving the development of a security data strategy aligned with business and regulatory requirements.

Skills

Elastic Stack

Data engineering

Security data pipelines

Logstash

Beats

Kafka

Azure/AWS/GCP

Security analytics

Python/Bash

Tools

Elastic SIEM

Logstash

Beats

Kafka

Job description

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, 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’re building a world-class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

Take the next step in your career.

The role

As an Elastic Security Engineer, you will combine broad security engineering expertise with deep knowledge of security data pipelines and Elastic Security.
As the organisation’s Security Data subject matter expert (SME), you will own the onboarding, tuning, stabilisation and evolution of security telemetry across cloud, hybrid and corporate environments.

Alongside this specialist focus, you will contribute as a well-rounded Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security challenges.
Working closely with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams, you will ensure security data is reliable, high-quality, cost-effective and fit for monitoring, investigation, threat hunting and compliance.

Key responsibilities of the role include:

• Acting as the technical authority and SME for security data within the Elastic Security ecosystem
• Designing, implementing and maintaining scalable security data ingestion pipelines into Elastic SIEM
• Owning the onboarding, tuning, normalisation and stabilisation of security data feeds across cloud, endpoint, network and SaaS sources
• Defining and continuously improving data quality standards to support detection, investigation and threat hunting
• Contributing to the operation, performance and evolution of the Elastic Security platform
• Applying software engineering and scripting skills, including in Python or Bash, to automate ingestion, validation, monitoring and operational workflows
• Supporting configuration as code and infrastructure as code to improve consistency and scalability across security tooling
• Driving the development of a security data strategy aligned with business and regulatory requirements

Who are we looking for?

The ideal candidate will have the following skills and experience:

• Strong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similar
• Expertise in Elastic data modelling, indexing and performance optimisation
• Experience designing scalable log collection and processing architectures
• Knowledge of data governance, retention and security telemetry across cloud, endpoint and network
• Experience with Azure, AWS, GCP or hybrid environments
• Strategic mindset with a focus on long-term data quality and platform evolution
• Strong communication skills, with ability to explain complex concepts to technical and non-technical stakeholders
• Collaborative approach with experience mentoring others and working across teams to improve security outcomes

Why join us?

• Highly competitive compensation
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• Informal dress code and excellent work/life balance
• Monthly company events