At a Glance
- Tasks: Design and maintain scalable security data pipelines using Elastic Security.
- Company: Join G-Research, a leader in finance and technology innovation.
- Benefits: Competitive pay, 30 days leave, healthcare, and monthly events.
- Other info: Inclusive culture that values diverse ideas and promotes career growth.
- Why this job: Shape the future of security data in a dynamic, collaborative environment.
- Qualifications: Experience with Elastic Stack and strong data engineering skills required.
The predicted salary is between 70000 - 90000 £ per year.
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.
The role: As a Security Data and Platform Engineer (Elastic Security), you’ll take on a hybrid security engineering role, combining strong general security engineering foundations with deep subject‑matter expertise in security data pipelines and Elastic Security. Reporting to the Security Engineering Manager, you will act as the Security Data SME for the organisation, owning the onboarding, tuning, stabilisation and evolution of security telemetry across cloud, hybrid and corporate environments. In addition to this specialist focus, you will make vital contributions as a well‑rounded Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security problems.
Key Responsibilities
- Act as the technical authority and SME for security data within the Elastic Security ecosystem.
- Design, implement and maintain robust, scalable security data ingestion (in particular Logstash) pipelines into Elastic SIEM, drawing on established data engineering and platform practices.
- Own onboarding, tuning, normalisation and stabilisation of security data feeds across cloud, endpoint, network and SaaS sources.
- Define and continuously improve data quality standards, ensuring telemetry is reliable and usable for detection, investigation and hunting.
- Contribute to the operation, monitoring and evolution of the Elastic Security platform, supporting availability, performance, upgrades and integrations.
- Apply software engineering and scripting skills, e.g., in Python or Bash, to automate ingestion, validation, monitoring and operational workflows.
- Support configuration‑as‑code and infrastructure‑as‑code approaches to ensure consistency and repeatability across security tooling.
- Drive the ongoing development of a coherent security data strategy aligned to business and regulatory needs.
Who are we looking for?
- Strong experience in data engineering with Elastic Stack, including Ingest pipelines, Logstash, Beats, Kafka or similar.
- Expertise in data modelling, indexing and optimisation within Elastic.
- Proven ability to design scalable log collection and processing architectures.
- Knowledge 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 GCP, and hybrid environments.
- Track record of mentoring or developing junior engineers.
Behavioural
- Strategic Thinking: Able to develop and execute a long‑term data strategy.
- Precision: Ensures data quality, consistency and reliability at all times.
- Communication: Capable of conveying complex data engineering concepts to security and non‑security stakeholders.
- Leadership: Supports and mentors junior colleagues to develop skills and independence.
- Collaboration: Works across teams to ensure alignment of data practices with wider security and business goals.
Benefits
- Highly competitive compensation plus annual discretionary bonus.
- Lunch provided (via Just Eat for Business) and dedicated barista bar.
- 30 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle‑to‑work scheme.
- Monthly company events.
G‑Research is committed to cultivating and preserving an inclusive work environment. We are an ideas‑driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section. At G‑Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world‑beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
Security Data & Platform Engineer in London employer: Alastair LLP
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work environment in the heart of London. Our culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development, alongside competitive benefits such as a generous annual leave policy, comprehensive healthcare, and a vibrant workplace atmosphere. Join us to be part of a world-class team that values your ideas and contributions while tackling complex challenges in quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Security Data & Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to Elastic Security and data pipelines. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common security engineering questions and scenarios. Practice explaining complex concepts simply—this will impress both technical and non-technical interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Security Data & Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Security Data & Platform Engineer role. Highlight your expertise in Elastic Stack and data engineering, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about security data and how your background makes you a great fit for our team. Be sure to mention specific experiences that demonstrate your strategic thinking and collaboration skills.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical abilities, especially in Python, Bash, and Elastic Security. We want to see how you've applied these skills in real-world scenarios, so include examples where possible.
Apply Through Our Website:We encourage you to submit your application through our website. This ensures that your application is reviewed promptly and gives you the best chance to stand out in our hiring process!
How to prepare for a job interview at Alastair LLP
✨Know Your Elastic Stack Inside Out
Make sure you brush up on your knowledge of the Elastic Stack, especially Logstash and data ingestion pipelines. Be ready to discuss your past experiences with these tools and how you've implemented them in real-world scenarios.
✨Showcase Your Data Strategy Skills
Prepare to talk about your approach to developing a long-term data strategy. Think of examples where you've improved data quality or governance, and be ready to explain how you can apply that experience to the role.
✨Demonstrate Your Collaboration Skills
Since this role involves working across teams, think of instances where you've successfully collaborated with others. Be prepared to share how you communicated complex concepts to non-technical stakeholders and how you ensured alignment with broader business goals.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Brush up on your scripting skills in Python or Bash, and be prepared to discuss how you've automated workflows in previous roles. This will show your problem-solving abilities and technical expertise.