Data Platform Engineer - Database & Infrastructure

Quberesearchandtechnologies; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Quberesearchandtechnologies is seeking a DevOps/Data Platform Engineer in Paris to ensure the reliability and scalability of its production data infrastructure. The role requires expertise in distributed data systems and managing robust data pipelines.

The ideal candidate will have a strong background in Kubernetes, AWS, and Infrastructure-as-Code practices. QRT emphasizes diversity and offers initiatives for a healthy work-life balance.

Qualifications

• 5+ years in DevOps, Data Platform Engineering, or similar field.
• Experience with distributed data systems in production.
• Strong understanding and hands-on experience with Docker and CI/CD.

Responsabilités

• Ensuring reliability and performance of production data systems.
• Designing and operating database clusters on Kubernetes.
• Building and maintaining data pipelines for ingestion and transformation.

Connaissances

DevOps

Data Platform Engineering

ClickHouse

Kubernetes

Terraform

AWS

Docker

CI/CD

Linux

Outils

Trino

CockroachDB

Airflow

Prometheus

Grafana

Kafka

Description du poste

Your future role within QRT

This role is fully on-site in Paris, focused on ensuring the reliability and scalability of our production data infrastructure.

Responsibilities

• 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

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.