ALTEN Mexico

Engineering and technology consulting services

Data Engineer GCP

Data EngineeringConfirmed live in the last 24 hours

Full-timeÎle-de-France, France€50k - €60k /yrHybrid

About the Job

Requirements

A degree from an engineering school or a Master 2 specializing in computer science or data.
At least five years of successful Data Engineering experience, including strong practical experience with GCP.
Expert-level SQL skills; knowledge of Python and Scala or Java is also listed.
Experience with GCP technologies including BigQuery, Cloud Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer.
Experience with Apache Airflow, Terraform, Docker, and Kubernetes.
Knowledge of data warehouses, data lakes, and dimensional modeling.
Fluent French and technical English.
Rigor, analytical thinking, and autonomy.
Strong communication skills for engaging with technical and business stakeholders.

Responsibilities

Design, develop, and optimize data architectures on Google Cloud Platform to process large batch and real-time data volumes.
Design and implement robust, scalable, and secure data pipelines on the GCP ecosystem.
Develop complex data ingestion and transformation flows using Python, Scala, or SQL.
Use key GCP stack components, including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow), and Bigtable.
Implement CI/CD practices using GitLab, GitHub Actions, or Jenkins, and Infrastructure as Code using Terraform.
Ensure data quality, traceability, and security, including data governance, IAM, and data lineage.
Participate in defining target architectures with Data Architects and provide technical expertise to business teams and Data Scientists.

Desired Qualifications

The Google Cloud Certified Professional Data Engineer certification is a strong asset.
Scala or Java is a plus.

Description du poste

En tant qu'Ingénieur(e) Data Engineer GCP, vous concevez, développez et optimisez les architectures Data sur l'environnement Google Cloud Platform pour traiter des volumes massifs de données (Batch & Real-time).

Vos principales responsabilités :

Architecture & Déploiement : Concevoir et mettre en œuvre des pipelines Data robustes, évolutifs et sécurisés sur l'écosystème GCP.
Développement & Ingestion : Développer des flux d'ingestion et de transformation de données complexes avec Python, Scala ou SQL.
Administration GCP : Utiliser les composants clés de la stack GCP : BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow) et Bigtable.
Bonnes pratiques & DevOps : Mettre en place les pratiques CI/CD (GitLab, GitHub Actions, Jenkins) et l'Infrastructure as Code (Terraform).
Qualité & Gouvernance : Garantir la qualité, la traçabilité et la sécurité des données (Data Governance, IAM, Data Lineage).
Accompagnement & Veille : Participer à la définition des architectures cibles avec les Data Architects et apporter votre expertise technique auprès des équipes métiers et Data Scientists.

Qualifications

Formation : Diplômé(e) d'une École d'Ingénieurs ou d'un Master 2 spécialisé en informatique / Data.
Expérience : Vous justifiez d'au moins 5 ans d'expérience réussie en Data Engineering, avec une pratique affirmée de l'environnement GCP.
Compétences techniques clés :
- Langages : Python, SQL (expert), Scala/Java (un plus).
- Écosystème GCP : BigQuery, Cloud Dataflow, Cloud Storage, Pub/Sub, Cloud Composer.
- Orchestration & DevOps : Apache Airflow, Terraform, Docker, Kubernetes.
- Modélisation Data : Data Warehouse, Data Lake, modélisation dimensionnelle.
Certifications (un réel atout) : Google Cloud Certified Professional Data Engineer.
Qualités personnelles : Rigueur, esprit d'analyse, autonomie et d'excellentes capacités de communication pour échanger avec des interlocuteurs techniques et fonctionnels.
Langues : Français courant et Anglais technique.

Informations supplémentaires

Lieu : Île-de-France

Type de contrat : CDI

Compensation: 50000 to 60000 (EUR) (YEARLY)

About the Company

ALTEN Mexico

Engineering and technology consulting services

ALTEN Mexico provides engineering and technology consulting services by supplying highly specialized engineers who embed within client teams to work on complex projects. The way it works is by offering a flexible pool of talent for research and development needs, allowing clients to access experts without committing to permanent hires. The company differentiates itself through a focus on embedded engineering consultants, serving sectors like telecommunications, aerospace, and information systems, and by expanding its reach via organic growth and acquisitions across Europe and globally. Its goal is to help clients access top engineering expertise efficiently while growing the business through deliberate geographic and service expansion.

Company size: Not listed
Company stage: IPO
Headquarters: Boulogne-Billancourt, France
Founded: 1988

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