Cloud Data Engineer: AWS & GCP Pipelines

Capgemini Engineering; Fundão; Ibrido; EUR 40.000 - 60.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work

Health and life insurance

Referral program with bonuses

Descrizione del lavoro

Capgemini Engineering is seeking a data engineer with 4 years of experience to design and maintain data pipelines, warehouse schemas, and analytics-ready data structures. The role emphasizes Python, SQL/NoSQL, and cloud platform exposure (AWS/GCP/Azure) with DevOps discipline for CI/CD.

You will collaborate across teams to ensure data quality, governance, and scalable distributed data systems while supporting national and international projects in a hybrid environment.

Competenze

• 4 years of experience in data engineering roles (as described in the ad).
• Proficient in data warehouse design, ETL/ELT, schema modeling and analytical data retrieval.
• Degree in computer science, software engineering, or engineering domains.
• Proficient in Python and another data engineering language (SQL/Java/NoSQL).
• Hands-on cloud experience with AWS/GCP/Azure or Linux, and DevOps/CI/CD familiarity.
• Strong data modeling skills (SQL/NoSQL) and distributed systems knowledge.
• Experience with big data tech like Spark and workflow tools like Airflow.
• Knowledge of data governance and data quality best practices.
• Excellent communication and cross-functional collaboration skills.
• Fluency in English; other languages are a plus.

Conoscenze

Data engineering

Python

SQL

NoSQL

ETL/ELT

Spark

Airflow

Cloud platforms

DevOps/CI/CD

Data modeling

English

Communication

Analytical mindset

Formazione

Degree in computer science / software engineering / engineering

Strumenti

Airflow

Spark

Descrizione del lavoro

Capgemini Engineering is seeking a data engineer with 4 years of experience to design and maintain data pipelines, warehouse schemas, and analytics-ready data structures. The role emphasizes Python, SQL/NoSQL, and cloud platform exposure (AWS/GCP/Azure) with DevOps discipline for CI/CD.

You will collaborate across teams to ensure data quality, governance, and scalable distributed data systems while supporting national and international projects in a hybrid environment.