Mid-Senior Data Engineer (AWS)
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At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to
- saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
YOUR ROLE
Design and implement scalable data pipelines using AWS services such as Glue, Lambda, Step Functions, and Kinesis.
Develop and optimize ETL workflows to process large datasets efficiently.
Build and maintain data lakes and data warehouses using S3, Redshift, Athena, and Lake Formation.
Ensure data integrity, governance, and security through proper IAM policies, encryption, and compliance frameworks.
Work with structured and unstructured data to enable analytics, AI/ML, and business intelligence use cases.
Optimize SQL and No
SQL databases (Redshift, Dynamo
DB, RDS, Open
Search) for performance and cost efficiency.
Automate infrastructure deployment using Infrastructure as Code (Ia
C) tools like Terraform or AWS Cloud
Formation.
Implement
- time and batch data processing using AWS Glue.
Collaborate with Data Scientists, AI/ML Engineers, and Dev
Ops teams to support
- driven applications.
Monitor and troubleshoot data pipelines with Cloud
Watch, Datadog, or ELK Stack.
YOUR PROFILE
Strong experience as a Data Engineer with expertise in AWS cloud environments.
Proficiency in Python, SQL, and Spark for data processing and transformation.
Hands-on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda.
Experience with ETL orchestration tools (Step Functions, Airflow, Prefect, Dagster).
Familiarity with containerization (Docker, Kubernetes, ECS) and CI/CD pipelines.
Understanding of data security, IAM policies, and encryption best practices.
Nice to have:
AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
Experience with Machine Learning and AI/ML data pipelines in AWS.
Knowledge of serverless data engineering with Lambda and API Gateway.
Hands-on experience with No
SQL databases (Dynamo
DB, Mongo
DB, Open
Search).
WHAT YOU'LL LOVE ABOUT WORKING HERE
- Join a multicultural and inclusive team environment.
- Enjoy a supportive atmosphere promoting
- life balance. - Engage in exciting national and international projects.
- 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.
- Training and certifications programs.
- Health and life insurance.
- Referral program with bonuses for talent recommendations.
- Great office locations.
ABOUT CAPGEMINI
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Apply now!
Ref. code: 210038
Posted on: Apr 10, 2025
Experience Level: Experienced Professionals
Contract Type: Permanent
Location:
Lisboa, PT Vila Nova de Gaia, PT Vila Nova de Gaia, PT Lisboa, PT
#J-18808-Ljbffr- Informações detalhadas sobre a oferta de emprego
Empresa: Capgemini Engineering Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 9. 7. 2025
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