Data Engineer AWS or GCP

Capgemini Engineering; Évora; Hybrid; EUR 42,000 - 62,000; Full time

Benefits offered by this job

Health and life insurance

Hybrid work model

Career growth programs

Training and certifications

Opportunities to work on international

Great office locations

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data pipelines

Data warehouses

Python

Java

SQL

NoSQL

Cloud platforms

DevOps/CI/CD

Data modeling

Spark

Airflow

Data governance

English

Education

B.S. in Computer Science or related field

Engineering degree (optional)

Tools

Spark

Airflow

SQL

NoSQL

Cloud platforms (AWS/GCP/Azure)

Linux

Job description

• 4 years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications.

Your Profile

• 4 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 Working

• Join 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 Capgemini

Capgemini 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.