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# Analytics Services Platform Engineer

- **Company:** Inclusiong-research
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Continuous Integration, Data Systems, Linux, Distributed Data Store, Python (Programming Language), Octopus Deploy, Prometheus, Grafana, Apache Spark, Apache Kafka, Vertica, Terraform, Jenkins
- **Published:** September 21, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/analytics-services-platform-engineer/47465043

## About the Role

accelerate time-to-insight through modern analytics solutionsDriving improvements in automation, observability and resilience across analytics servicesEvaluating and adopting emerging technologies such as AI assistants, data mesh and cloud-native analytics solutionsDefining SLAs, KPIs and monitoring strategies to ensure reliability, security and service excellenceParticipating in the out-of-hours rota to support critical systemsCore Skills and TechnologiesExperience running distributed data and analytics systems at scale using tools such as Spark, Kafka, Trino or AirflowStrong Linux skills and proficiency in Python for automation and integrationFamiliarity with infrastructure as code, using Terraform or AnsibleDeep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAAExperience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetryStrong problem-solving skills and a systematic approach to diagnosing and

## 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.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 involves designing, building and operating large-scale distributed platforms that power our research, trading and engineering teams across on-premises and AWS environments, using technologies such as Spark, Trino, Kafka, ClickHouse and Airflow.Key ResponsibilitiesBuilding, operating and scaling distributed analytics platforms across on-premises and AWS environmentsDesigning and implementing new platform features that enhance usability, scalability and the developer experienceCollaborating with research, data and engineering teams to


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