Data Engineer AWS or GCP
Capgemini is hiring a Data Engineer in Lisbon (hybrid) with 4+ years of experience to build and maintain data pipelines, warehouses, and ETL/ELT processes on cloud platforms like AWS, GCP, or Azure. The core stack includes Python, SQL/NoSQL, Spark, and Airflow, plus DevOps/CI-CD practices.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 4+ years of experience in data engineering roles building and maintaining data pipelines, systems, and applications
- Proficient in data warehouse design, implementation, and optimization with ETL/ELT processes and schema modeling
- Degree in computer science, software engineering, or engineering domains
- Proficient in Python and one additional programming/querying language (Java, SQL, NoSQL, or similar)
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), or in Linux OS
- Experience with DevOps and CI/CD
- Strong understanding of data modeling (SQL and NoSQL) with expertise in distributed systems design
- Experience with big data technologies such as Spark and familiarity with Airflow for workflow orchestration
- Knowledge of data governance, metadata management, and data quality/compliance best practices
- Excellent communication skills and ability to collaborate in cross-functional teams
- Analytical mindset, attention to detail, and problem-solving skills
- Fluency in English is mandatory
Nice to have
- Familiarity with standard AI/ML processes & operations
- Proficiency in additional languages beyond English
Full description
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.