Analytics Services Platform Engineer

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

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