Data Engineer (F/H/X) at Zenika | FR | Rezi

Data Engineer (F/H/X) at Zenika

Data Engineer (F/H/X)

Zenika · FR

1 months ago

Data Engineer (F/H/X)

Zenika · FR

a month ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Data Engineer (F/H/X) role.

Rezi rewrites your resume against Zenika's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Engineer (F/H/X) posting at Zenika — free, in seconds.

About the Role

At Zenika, we offer challenging projects with high impact, focusing on both technical and personal growth. Your expertise will be crucial in designing, developing, and optimizing data pipelines, ensuring data ingestion, storage, and security within modern data architectures.

Responsibilities

  • Concevoir, développer et optimiser des pipelines de données batch et streaming.
  • Ingérer, collecter et stocker de manière distribuée des données brutes au sein d'entrepôts ou d'architectures modernes de type Lakehouse et médaillon (couches Bronze, Silver, Gold).
  • Automatiser les déploiements d'infrastructures via l'Infrastructure-as-Code (IaC) et l'intégration/déploiement continus (CI/CD).
  • Sécuriser et appliquer la gouvernance sur les données (gestion de la confidentialité PII, contrôle d'accès RLS/CLS, traçabilité).
  • Optimiser en continu les performances et la scalabilité des traitements de données.
  • Modéliser les données en vue d’optimiser les performances des pipelines de données et la restitution.

Requirements

  • Minimum 4 years of experience as a Data Engineer.
  • Proficiency in Python.
  • Essential mastery of the GCP Cloud ecosystem.
  • Solid experience in implementing and managing orchestration tools (e.g., Airflow, Kestra, Dagster).
  • Pragmatic approach with attention to code quality (Software Craftsmanship).
  • Willingness to share knowledge.

Skills

  • Python
  • Java
  • Scala
  • GCP
  • Airflow
  • Kestra
  • Dagster
  • Spark
  • SQL
  • Apache Spark (PySpark)
  • dbt
  • Dataform
  • Confluent / Apache Kafka
  • S3NS
  • Databricks
  • Snowflake
  • Terraform
  • Git
  • GitLab CI
  • GitHub Actions

Location

  • Remote

Work Type

  • Full-time
  • Hybrid

Experience Level

  • 4+ years

Benefits

  • Internal guilds, pairing, peer sharing.
  • Commitment to training with a minimum of 2 certifications per year (Google Cloud, Databricks, dbt, Confluent, Snowflake, Airflow, Terraform).
  • Clear career progression path towards Lead Technical, Data Architect, Referent Partner Expert, Manager, or Trainer roles.
  • Flexible remote work.
  • Respect for personal time.
  • Transparent compensation.
  • Responsible business model: inclusion, professional equality, digital sobriety.
  • An environment where you can be yourself, with listening and equity.

About the Company

  • Zenika offers challenging projects with high impact.
  • Our missions focus on integrated teams with high added value.
  • Projects include Move to Modern Data Platform, Data Platform & AI, Sovereign Data Platform, and FinOps IA & Green Data.
  • We are a responsible company with a central focus on CSR.
  • Diversity is valued, and the candidate experience is a priority.

Equal Opportunity

  • Zenika is committed to ensuring equal treatment for every application.
  • We are convinced that diversity brings value.
  • The candidate experience is at the heart of our concerns.
  • We will adapt the recruitment process and integration for specific needs.