
Capgemini Engineering
Capgemini Engineering is the leading company in Research and Development (R&D). With collaboration from more than 52,000 engineers and scientists worldwide, we use R&D to help our clients create intelligent products, operations, and services, contributing to accelerate their journey towards the Intelligent Industry.
About company Lisbon, Porto, Castelo Branco
November 5, 2026
Full-time
Sobre a vaga
We are looking for a Data Engineer (AWS) to join an innovative project within the automotive sector. You will design, implement, and manage scalable cloud architectures in AWS and develop CI/CD pipelines to automate build, test, and deployment processes.
O que vais fazer
- Design, implement, and manage scalable cloud architectures in AWS
- Develop and maintain CI/CD pipelines to automate build, test, and deployment processes
- Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi
- Ensure high availability, performance, and security of cloud environments
- Manage and optimize Kubernetes (EKS, AKS, GKE) and containerized workloads
- Automate operational tasks using Bash, Python, or Go scripting
- Monitor cloud environments with Prometheus, Grafana, ELK, CloudWatch, or Datadog
- Enforce security best practices in cloud environments, including IAM policies, network security, and compliance frameworks
- Collaborate with development teams to optimize cloud applications and improve DevOps workflows
- Drive cost optimization strategies and FinOps best practices
O que é pedido
- + 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
- Strong expertise in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or ArgoCD
- Hands-on experience with Kubernetes and container orchestration
- 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
- Advanced knowledge of Infrastructure as Code (IaC) (Terraform, CloudFormation, or Pulumi)
- Solid understanding of cloud security, identity management, and access control
- Experience with observability and logging tools (Prometheus, Grafana, CloudWatch, ELK, Datadog)
- Experience with configuration management tools (Ansible, Chef, Puppet)
- Fluency in English is mandatory
Valorizado
- Familiarity with Standard AI/ML processes & Operations is greatly valued
- proficiency in additional languages advantageous
O que é oferecido
- Join a multicultural and inclusive team environment
- Enjoy a supportive atmosphere promoting work-life balance
- Hybrid work
- array of career growth programs
- 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