23 hours ago
London, United KingdomSenior
Responsibilities
- Act as the technical authority and subject matter expert for security data within the Elastic Security ecosystem.
- Design, implement, and maintain scalable security data ingestion pipelines into Elastic SIEM.
- Own onboarding, tuning, normalization, and stabilization of security data feeds across cloud, endpoint, network, and SaaS sources.
- Define and improve data quality standards for detection, investigation, threat hunting, and compliance.
- Contribute to the operation, performance, and evolution of the Elastic Security platform.
- Use Python or Bash and software engineering practices to automate ingestion, validation, monitoring, and operational workflows.
- Support configuration as code and infrastructure as code for consistency and scalability across security tooling.
- Develop a security data strategy aligned with business and regulatory requirements.
- Collaborate with SOC, CSIRT, Detection Engineering, Platform Engineering, and Cloud teams, including mentoring and cross-team improvement work.
Requirements
- Strong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka, or similar.
- Expertise in Elastic data modeling, indexing, and performance optimization.
- Experience designing scalable log collection and processing architectures.
- Knowledge of data governance, retention, and security telemetry across cloud, endpoint, and network environments.
- Experience with Azure, AWS, GCP, or hybrid environments.
- Strong communication skills for explaining complex concepts to technical and non-technical stakeholders.
- Strategic mindset focused on long-term data quality and platform evolution.
- Collaborative experience mentoring others and working across teams to improve security outcomes.
Benefits
- Highly competitive compensation.
- Lunch provided via Just Eat for Business and a dedicated barista bar.
- Informal dress code and excellent work/life balance.
- Monthly company events.
- Contract role based in London; applications are handled through a third-party recruitment partner.
Tech Stack
Categories
Data EngineeringSecurity
About G-Re
G-Research is a London-based quantitative research and technology firm that develops models, data pipelines, and trading systems to forecast movements in global financial markets. It employs researchers and software engineers to build machine-learning-driven strategies and the infrastructure that supports systematic investing, spanning high-performance compute and secure networks. Privately held and founded in 2001, the company operates from its London headquarters and focuses on institutional, data-intensive finance.