Senior Data Platform Engineer — Scale Data (Paris)

Qube Research & Technologies; Paris; Sur place; EUR 120 000 - 190 000; Plein temps

Résumé du poste

Qube Research & Technologies in Paris seeks a Senior Data Platform Engineer to lead the design and operation of scalable production data systems. You will own architecture, performance, and reliability across data platforms, working within the DevOps team to drive improvements and standards.

You will mentor engineers, shape technical roadmaps, and collaborate with data, research, and engineering teams to raise the bar on reliability, security, and efficiency in a fully on-site Paris role.

Qualifications

• 8+ years in DevOps, Data Platform Engineering, or similar, with production infrastructure ownership at scale.
• Deep production experience with distributed data systems (ClickHouse, Trino, EMR).
• Expert-level Kubernetes experience (stateful workloads, Helm, operators) at significant scale.
• Extensive Infrastructure-as-Code experience (Terraform, Helm) with reusable patterns.
• Strong knowledge of AWS data ecosystem (S3, EKS, EMR, MSK, RDS) and AWS IAM security.
• Hands-on Docker and CI/CD pipelines, plus data pipelines (Kafka, Spark, Airflow).
• Solid Linux fundamentals and scripting (Python and/or Bash).
• Demonstrated ability to assess complex systems, challenge designs, and drive improvements.
• Strong communication skills to influence stakeholders and mentor engineers.

Responsabilités

• Own the architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino).
• Evaluate existing infrastructure, identify architectural gaps, and drive improvements.
• Design and operate database clusters on Kubernetes (via operators) at scale.
• Set standards and best practices for data pipelines (ingestion, transformation, replication).
• Drive and mature Infrastructure-as-Code practices (Terraform, Helm).
• Operate and evolve storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS).
• Establish standards for Docker images and CI/CD workflows for data services.
• Define and maintain AWS IAM policies, permissions, and security best practices.
• Lead complex troubleshooting across the stack (databases, OS, storage, networking).
• Define and improve observability practices (metrics, alerting, capacity planning).
• Mentor engineers and collaborate across teams to influence technical decisions.

Connaissances

Mentoring

Technical leadership

Cross-team collaboration

Problem solving

Communication skills

Outils

ClickHouse

Trino

Kubernetes

Terraform

Helm

AWS (S3, EKS, EMR, MSK, RDS)

Docker

CI/CD pipelines

Kafka

Spark

Airflow

Prometheus

Grafana

OpenTelemetry

ArgoCD

Flux

Go

Rust

Python

Bash

Linux

Parquet/Arrow

Description du poste

Qube Research & Technologies in Paris seeks a Senior Data Platform Engineer to lead the design and operation of scalable production data systems. You will own architecture, performance, and reliability across data platforms, working within the DevOps team to drive improvements and standards.

You will mentor engineers, shape technical roadmaps, and collaborate with data, research, and engineering teams to raise the bar on reliability, security, and efficiency in a fully on-site Paris role.