Data Engineer AWS or GCP

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

Your Profile+ 7 years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications.Proficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposesDegree in computer science, software engineering, or in engineering domains.Proficient in Python and one additional programming/querying language used for data engineering Java, SQL, NoSQLs or similar.Hands-on experience with cloud platforms like AWS or GCP or AzureKnowledge and Hands-on experience either with cloud platforms (AWS, GCP, or Azure), or in Linux OS.Experience with Devops and CI/CD.Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design.Experience with big data technologies such as, Spark or other distributed processing technologies and familiarity with tools like Airflow for workflow orchestration.Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance.Excellent communication skills and the ability to collaborate effectively in cross-functional teams.Analytical mindset, attention to detail, and problem-solving skills to address complex data challenges.Familiarity with Standard AI/ML processes & Operations is greatly valued.Fluency in English is mandatory, and proficiency in additional languages advantageous.What You'll Love About WorkingJoin a multicultural and inclusive team environment.Enjoy a supportive atmosphere promoting work-life balance.Hybrid work.Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.Access valuable training and certifications in cutting-edge technologies.Engage in exciting national and international projects.Health and life insurance.Referral program with bonuses for talent recommendations.Great office locations.About CapgeminiCapgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries.