Security Data & Platform Engineer

Security Data & Platform Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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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 a fun work culture.
  • Other info: Mentorship opportunities and a focus on diversity and inclusion.
  • 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 60000 - 80000 £ 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.

Role

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 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 commitment to work-life balance. Join us to be part of a world-class team that values your ideas and contributions while tackling complex challenges in quantitative finance.

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Contact Details:

Alastair LLP Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Security Data & Platform Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to security data and Elastic Security. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios related to security engineering. Practice explaining complex concepts in simple terms—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

Security Engineering
Elastic Security
Data Engineering
Logstash
Data Ingestion Pipelines
Data Modelling
Indexing and Optimisation

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 data ingestion pipelines. We want to see how you can apply these skills to solve real-world security problems.

Apply Through Our Website:We encourage you to submit your application through our website. This way, we can ensure your application is reviewed promptly and you get the best chance to shine in front of our hiring team!

How to prepare for a job interview at Alastair LLP

Know Your Stuff

Make sure you brush up on your knowledge of Elastic Security and data engineering principles. Be ready to discuss your experience with Logstash, Beats, and Kafka, as well as how you've designed scalable log collection architectures in the past.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex security problems. Think about times when you applied software engineering or automation to improve security processes, and be ready to explain your thought process.

Communicate Clearly

Since you'll need to convey complex concepts to both technical and non-technical stakeholders, practice explaining your work in simple terms. This will demonstrate your communication skills and your ability to collaborate across teams.

Emphasise Teamwork and Mentorship

Highlight any experience you have mentoring junior engineers or working collaboratively within a team. G-Research values leadership and collaboration, so showing that you can support and develop others will set you apart.