Data Engineer AWS or GCP

Capgemini Engineering; Lisboa; Hybrid; EUR 40,000 - 65,000; Full time

Benefits offered by this job

Hybrid work

Health and life insurance

Referral program

Career growth programs

Training and certifications

International projects

Office locations

Work-life balance

Job summary

Capgemini Engineering is seeking a data engineer with 4 years of experience to design and optimize data pipelines, warehouses, and analytics-ready datasets. You will work across cloud platforms and Linux environments, applying ETL/ELT best practices and distributed system design.

Strong communication and English proficiency are required, with additional languages a plus. The role offers hybrid work arrangements, opportunities to engage in national and international projects, and access to

Qualifications

• 4 years of experience in data engineering roles
• Proficient in data warehouse design and ETL/ELT processes
• Degree in computer science, software engineering, or engineering domain
• Proficient in Python and another programming/querying language
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) or Linux
• Experience with DevOps and CI/CD
• Strong data modeling skills (SQL and NoSQL) and distributed systems
• Familiarity with data governance, metadata management and data quality practices
• Excellent communication and collaboration in cross-functional teams
• Fluency in English; additional languages are a plus

Responsibilities

• Develop and maintain data pipelines, systems and applications
• Design and optimize data warehouses and schemas
• Implement ETL/ELT processes and ensure data quality
• Collaborate with cross-functional teams and translate business needs into data solutions

Skills

Python

SQL

Java

NoSQL

ETL/ELT

Data pipelines

Airflow

Spark

Data modeling

Education

Bachelor's degree in Computer Science

Software engineering or related engineering

Tools

Airflow

Spark

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.