Data Engineer AWS or GCP

Capgemini Engineering; Porto; Hybrid; EUR 45,000 - 75,000; Full time

Benefits offered by this job

Hybrid work

Health and life insurance

Referral program with bonuses

Great office locations

Training and certifications

Job summary

Capgemini Engineering is seeking a data engineer to design and maintain scalable data pipelines, build data warehouses, and enable analytics across cloud platforms. You will collaborate with cross-functional teams and drive data governance, security, and quality initiatives in a hybrid work setup.

The role requires 4 years of data engineering experience, strong Python and SQL skills, and hands-on experience with Spark, Airflow, and CI/CD practices.

Qualifications

• 4 years of experience in data engineering roles focusing on pipelines and systems.
• Proficient in data warehouse design and ETL/ELT processes.
• Fluency in English required; additional languages advantageous.
• Hands-on cloud experience AWS, GCP, or Azure.
• Experience with DevOps and CI/CD.
• Strong data modeling for SQL and NoSQL; distributed systems.
• Experience with Spark and Airflow for orchestration.
• Knowledge of data governance and metadata management.
• Excellent collaboration and analytical skills.

Skills

Data pipelines

Python

SQL

NoSQL

Java

Cloud platforms

Airflow

Spark

Data modeling

Data governance

CI/CD

Communication skills

English fluent

Education

Bachelors in CS/Engineering

Tools

Linux OS

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 purposes

Degree 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.