Jobs / Globe Groupe

Data platform engineer senior - h/f

Globe Groupe · Neuilly-sur-Seine, A8, France
Neuilly-sur-Seine, A8, FranceExp: 5+ yrs55,000-70,000 EUR/yearlyOnsite
Remuneration
55,000-70,000 EUR/yearly
Location
Neuilly-sur-Seine, A8, France
Visa sponsorship
Not specified

Job summary

The role operates and evolves a production data platform used by multiple teams and business units, while supporting internal data products and production AI workloads. Responsibilities include improving platform reliability, security, observability, and data quality; developing entity-resolution pipelines; and guiding Data Engineers. The stack includes Snowflake, dbt, Airflow, Airbyte, AKS, ArgoCD, Helm, Grafana, and tools for data and AI observability.

Qualifications

  • At least five years of experience in data engineering or data platforms.
  • Experience with a production data platform used by multiple teams, business units, or clients.
  • Strong SQL skills, including modeling, optimization, and access control.
  • Strong experience with dbt in an industrialized environment.
  • Solid experience with Airflow, ideally version 2.x or 3.x.
  • Experience with a managed ingestion tool such as Airbyte or Fivetran.
  • Confirmed Python skills, including code quality, testing, and maintainability.
  • Experience with Kubernetes, Helm, GitOps or ArgoCD, CI/CD, secrets management, and multiple environments.
  • Professional fluency in French and English.

Responsibilities

  • Operate and evolve the data platform using Snowflake, dbt, Airflow, and Airbyte.
  • Improve platform reliability, scalability, security, and operational simplicity.
  • Support platform operations, monitoring, and continuous improvement.
  • Deploy and industrialize Elementary tests for freshness, volume, and anomalies.
  • Improve monitoring with Grafana and strengthen data quality visibility.
  • Maintain and evolve internal data products built with FastAPI, React, PostgreSQL, and Snowflake.
  • Contribute to the operational reference system, semantic registry, and sell-out file processing.
  • Industrialize the entity-resolution pipeline.
  • Instrument and document AI workloads with Langfuse and OpenMetadata; monitor their evaluation and costs.
  • Partner with Data Engineers across regions and business units, review pull requests, and promote engineering, documentation, and security practices.

Skills

AirflowAKSArgo CDdbtGrafanaHelmKubernetesPostgreSQLPythonSnowflakeTerraformGitHub Actions

Languages

FrenchEnglish

Industry

RetailSaaS B2BCPG

Relocation

No