Software Engineer - Data
Role details
Job location
Tech stack
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
We are hiring Software Engineers to join our Core Data Technology function, which sits at the heart of G-Research's research ecosystem.
Our teams design, build and operate the platforms that ingest, curate, snapshot and serve mission-critical market and reference data at scale. This includes raw and aggregated time-series data, instrument and corporate action data, pricing, calendars and other datasets that underpin real-time client trading and research.
Key responsibilities of the role include:
- Designing, building and evolving production-grade data platforms and services
- Developing scalable systems for data ingestion, processing, snapshotting and serving
- Optimising software performance, throughput and efficiency at scale
- Contributing to the reliability and operational excellence of critical systems, including participation in production support rotations
- Applying strong software engineering best practices, covering testing, code quality, automation and observability
Working closely with researchers and other engineering teams to deliver high-value solutions
Requirements
Do you have experience in Python?, The ideal candidate will have the following skills and experience:
- Strong experience in at least one typed language, such as Java, Kotlin, C#, C++ orRust
- Experience building and operating production systems where correctness, performance and reliability matter
- Experience with containerisation and orchestration
Experience in some of the following is beneficial:
- Distributed systems and large-scale data platforms
- Data processing or data serving systems
- Python in production environments
- Columnar or analytical data formats and tooling, such as Parquet, Arrow or Delta Lake
Above all, we value clean, maintainable code, sound engineering judgement and a business-value mindset over specific toolkits.
Benefits & conditions
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 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
