Analytics Services Platform Engineer
G Research · London, England ·
Overview In this Platform Engineer role, you will design, build, and operate large-scale distributed analytics platforms across on-premises and AWS to power research, trading, and engineering teams. You will deliver high-availability, secure analytics services while improving usability and developer experience.
You'll collaborate with researchers and engineers to accelerate time-to-insight and explore emerging technologies. This is a hands-on, cross-functional role with a clear impact on platform scalability and reliability. Pay / Benefits Highly competitive compensation annual discretionary bonus Lunch provided via Just Eat for Business 35 days' annual leave 9% company pension contributions Comprehensive healthcare and life assurance Responsibilities Build, operate and scale distributed analytics platforms across on-premises and AWS Design and implement new platform features to improve usability, scalability and developer experience Collaborate with research, data and engineering teams to accelerate time-to-insight Drive automation, observability and resilience across analytics services Evaluate and adopt emerging technologies (e.g., AI assistants, data mesh, cloud-native analytics) Define SLAs, KPIs and monitoring strategies for reliability and security Participate in out-of-hours rota to support critical systems Key requirements Experience running distributed data and analytics systems at scale (Spark, Kafka, Trino, Airflow) Strong Linux skills and Python for automation Familiarity with Terraform or Ansible (infrastructure as code) Experience with AWS analytics tech (EMR, MSK, Athena, Redshift, Glue, MWAA) CI/CD and observability tools (Jenkins, ArgoCD, Prometheus, Grafana, OpenTelemetry) Strong problem-solving and systematic diagnostic abilities Strong collaboration with researchers and engineers Problem-solving orientation Structured and proactive approach to reliability and performance Spark Kafka Trino