Analytics Services Platform Engineer

G-Research; Greater London; On-site; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Highly competitive compensation

Annual discretionary bonus

Lunch provided

35 days’ annual leave

9% company pension contributions

Comprehensive healthcare and life assurance

Job summary

G-Research in London is looking for an experienced Platform Engineer to shape the next generation of their analytics infrastructure. In this role, you'll design and operate large-scale distributed platforms that power research, trading, and engineering teams, delivering high-performance analytics services across AWS. Ideal candidates possess strong skills in Spark, Kafka, and AWS technologies, along with excellent problem-solving capabilities. Competitive compensation, annual bonuses, and various perks such as lunch and 35 days of leave are offered.

Qualifications

• Experience running distributed data and analytics systems at scale.
• Strong Linux skills and proficiency in Python for automation.
• Deep understanding of AWS analytics technologies including EMR and Redshift.

Responsibilities

• Building, operating, and scaling distributed analytics platforms.
• Designing and implementing new platform features.
• Collaborating with teams to improve analytics solutions.

Skills

Running distributed data and analytics systems

Linux proficiency

Python for automation

Infrastructure as code (Terraform, Ansible)

AWS analytics technologies

CI/CD and observability tools

Problem-solving skills

Tools

Spark

Kafka

Trino

Airflow

Jenkins

Grafana

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.

The role

At G‑Research, we thrive on innovation and cutting‑edge technology to drive world‑class research and business capabilities. As our operations continue to grow, we’re seeking an experienced Platform Engineer to join our Analytics Services team.

In this role, you’ll help shape the next generation of our analytics infrastructure — designing, building and operating large‑scale distributed platforms that power our research, trading and engineering teams. You’ll deliver highly available, secure and high‑performance analytics services across on‑premises and AWS environments, using technologies such as Spark, Trino, Kafka, ClickHouse and Airflow.

This is a highly collaborative position, working directly with researchers and engineers to evolve platform capabilities, automate operations and explore emerging technologies that drive innovation across the business.

Key responsibilities of the role include:

• Building, operating and scaling distributed analytics platforms across on‑premises and AWS environments
• Designing and implementing new platform features that enhance usability, scalability and the developer experience
• Collaborating with research, data and engineering teams to accelerate time‑to‑insight through modern analytics solutions
• Driving improvements in automation, observability and resilience across analytics services
• Evaluating and adopting emerging technologies such as AI assistants, data mesh and cloud‑native analytics solutions
• Defining SLAs, KPIs and monitoring strategies to ensure reliability, security and service excellence
• Participating in the out‑of‑hours rota to support critical systems

Who are we looking for?

Core skills and technologies

• Experience running distributed data and analytics systems at scale using tools such as Spark, Kafka, Trino or Airflow
• Strong Linux skills and proficiency in Python for automation and integration
• Familiarity with infrastructure as code, using Terraform or Ansible
• Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA
• Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry
• Strong problem‑solving skills and a systematic approach to diagnosing and resolving issues

Highly desirable skills

• Experience with streaming frameworks such as Flink, Kafka Streams and Kafka Connect
• Knowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data Catalog
• Exposure to DataOps practices and collaboration with Data Engineering teams
• Familiarity with GPU‑accelerated analytics using Spark with GPUs or RAPIDS
• Programming experience with Java, Scala, C#, Python or Go
• 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