Data Platform Engineer - Database & Infrastructure

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Data Platform Engineer to join our DevOps team in Paris. This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on building reliable, scalable, and high-performance data platforms. Your responsibilities will include: Ensuring reliability and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) Designing and operating database clusters on Kubernetes (via operators) Building and maintaining data pipelines (ingestion, transformation, replication) Driving Infrastructure-as-Code practices (Terraform, Helm) Operating storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) Managing Docker images and CI/CD workflows for data services Defining and maintaining AWS IAM policies and permissions Troubleshooting across the stack (databases, OS, storage, networking) Implementing observability (metrics, alerting, capacity planning) Collaborating with engineering, data, and research teams Your present skillset: 5+ years in DevOps, Data Platform Engineering, or similar Experience with distributed data systems in production (e.g. ClickHouse, Trino, EMR) Strong Kubernetes experience (stateful workloads, Helm, operators) Solid Infrastructure-as-Code experience (Terraform, Helm, etc.) Good knowledge of AWS data ecosystem (S3, EKS, EMR, MSK, RDS) Strong understanding of AWS IAM and security best practices Hands-on experience with Docker and CI/CD pipelines Experience with data pipelines (Kafka, Spark, Airflow, etc.) Strong Linux fundamentals and scripting (Python and/or Bash) Understanding of database reliability (replication, backups, failover) Nice to have: OLAP / high-throughput systems experience Experience with VAST Data or similar storage systems Familiarity with Iceberg, Delta Lake or Hudi Observability tools (Prometheus, Grafana, OpenTelemetry) GitOps tools (ArgoCD, Flux) CKA or strong Kubernetes expertise Programming in Go, Rust, or Python Knowledge of Parquet/Arrow and query engines AWS certifications QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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