Cloud Data Engineer (AWS/GCP) - Hybrid, Pipelines & Spark

Capgemini Engineering; Porto; Hybride; EUR 45 000 - 75 000; Plein temps

Avantages offerts par ce poste

Hybrid work

Health and life insurance

Referral program with bonuses

Great office locations

Training and certifications

Résumé du poste

Capgemini Engineering is seeking a data engineer to design and maintain scalable data pipelines, build data warehouses, and enable analytics across cloud platforms. You will collaborate with cross-functional teams and drive data governance, security, and quality initiatives in a hybrid work setup.

The role requires 4 years of data engineering experience, strong Python and SQL skills, and hands-on experience with Spark, Airflow, and CI/CD practices.

Qualifications

• 4 years of experience in data engineering roles focusing on pipelines and systems.
• Proficient in data warehouse design and ETL/ELT processes.
• Fluency in English required; additional languages advantageous.
• Hands-on cloud experience AWS, GCP, or Azure.
• Experience with DevOps and CI/CD.
• Strong data modeling for SQL and NoSQL; distributed systems.
• Experience with Spark and Airflow for orchestration.
• Knowledge of data governance and metadata management.
• Excellent collaboration and analytical skills.

Connaissances

Data pipelines

Python

SQL

NoSQL

Java

Cloud platforms

Airflow

Spark

Data modeling

Data governance

CI/CD

Communication skills

English fluent

Formation

Bachelors in CS/Engineering

Outils

Linux OS

Description du poste

Capgemini Engineering is seeking a data engineer to design and maintain scalable data pipelines, build data warehouses, and enable analytics across cloud platforms. You will collaborate with cross-functional teams and drive data governance, security, and quality initiatives in a hybrid work setup.

The role requires 4 years of data engineering experience, strong Python and SQL skills, and hands-on experience with Spark, Airflow, and CI/CD practices.