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

Data engineer aws

Remote

location Lisbon, Porto, Castelo Branco

date November 5, 2026

types 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