Senior Data Engineer: AWS & GCP Data Pipelines

Capgemini; Lisboa; Hybrid; EUR 45,000 - 75,000; Full time

Benefits offered by this job

Health and life insurance

Hybrid work model

Training and certifications

Referral program with bonuses

Great office locations

Career growth programs

Job summary

Capgemini is seeking a data engineering professional in Portugal to design and maintain scalable data pipelines and data warehouses. You will work with Python, SQL/NoSQL, Spark, and Airflow within a hybrid work model, collaborating with cross-functional teams to ensure data quality and governance.

The role emphasizes cloud proficiency (AWS/GCP/Azure), DevOps/CI/CD practices, and strong modeling skills, with English as a must-have language and opportunities for career growth and international

Qualifications

• Degree in computer science, software engineering, or in engineering domains.
• Proficient in Python and one additional programming language (Java, SQL, NoSQL)
• Experience with cloud platforms (AWS, GCP, or Azure) and Linux OS
• Experience with DevOps and CI/CD
• Strong data modeling skills (SQL and NoSQL) and distributed systems design
• Experience with big data technologies (Spark) and workflow orchestration (Airflow)
• Knowledge of data governance, metadata management, and data quality/compliance
• Excellent communication and collaboration in cross-functional teams
• Fluency in English; other languages advantageous

Responsibilities

• Build and maintain robust data pipelines and data systems.
• Design and optimize data warehouses for analytical use cases.
• Collaborate with cross-functional teams to deliver data solutions.
• Implement data governance and quality practices across environments.

Skills

Data Engineering

ETL/ELT

Python

Java/SQL

NoSQL

Linux

DevOps

CI/CD

Data Modeling

Big Data

Spark

Airflow

Data Governance

Metadata

Data Quality

Communication

Analytical

AI/ML awareness

English

Education

Bachelors degree in Computer Science, Software Engineering, or related Engineering field

Tools

AWS

GCP

Azure

Airflow

Job description

Capgemini is seeking a data engineering professional in Portugal to design and maintain scalable data pipelines and data warehouses. You will work with Python, SQL/NoSQL, Spark, and Airflow within a hybrid work model, collaborating with cross-functional teams to ensure data quality and governance.

The role emphasizes cloud proficiency (AWS/GCP/Azure), DevOps/CI/CD practices, and strong modeling skills, with English as a must-have language and opportunities for career growth and international