Data Engineer (AWS & GCP) — Hybrid Role

Capgemini Engineering; Évora; Híbrido; EUR 42 000 - 62 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and life insurance

Hybrid work model

Career growth programs

Training and certifications

Opportunities to work on international

Great office locations

Resumo da oferta

Capgemini Engineering in Portugal (Évora) is seeking a data engineer with 4 years of experience to design, build and maintain data pipelines, data warehouses, and analytical systems. You will work across cloud platforms (AWS/GCP/Azure), implement ETL/ELT processes, and leverage Spark, Airflow and NoSQL/SQL data models.

Fluency in English is mandatory, and collaboration with cross-functional teams is essential.

Qualificações

• 4 years of experience in data engineering roles focusing on pipelines, systems, and applications.
• Proficient in data warehouse design, ETL/ELT, schema modeling, and efficient data retrieval for analytics.
• Fluency in English is mandatory; additional languages are a plus.

Responsabilidades

• Build and maintain robust data pipelines and data warehouse solutions.
• Design and optimize data models for SQL and NoSQL systems.
• Collaborate with cross-functional teams and ensure data quality and governance.
• Implement DevOps/CI/CD practices for data platforms.
• Leverage Spark, Airflow, and cloud services to deliver scalable data solutions.

Conhecimentos

Data pipelines

Data warehouses

Python

Java

SQL

NoSQL

Cloud platforms

DevOps/CI/CD

Data modeling

Spark

Airflow

Data governance

English

Formação académica

B.S. in Computer Science or related field

Engineering degree (optional)

Ferramentas

Spark

Airflow

SQL

NoSQL

Cloud platforms (AWS/GCP/Azure)

Linux

Descrição da oferta de emprego

Capgemini Engineering in Portugal (Évora) is seeking a data engineer with 4 years of experience to design, build and maintain data pipelines, data warehouses, and analytical systems. You will work across cloud platforms (AWS/GCP/Azure), implement ETL/ELT processes, and leverage Spark, Airflow and NoSQL/SQL data models.

Fluency in English is mandatory, and collaboration with cross-functional teams is essential.