Data Engineer AWS

Capgemini Engineering; Évora; Hybrid; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Hybrid work

Health and life insurance

Referral program

Excellent office locations

Job summary

CAPGEMINI ENGINEERING is seeking a Data Engineer (AWS) to join an innovative automotive project. You will design scalable cloud architectures, develop CI/CD pipelines, implement IaC, and ensure secure, high-performance environments.

Required: 4+ years in data engineering, strong Python, and experience with AWS, Kubernetes, and CI/CD tools. Hybrid work and international collaboration opportunities available.

Qualifications

• 4 years of data engineering experience building data pipelines and apps.
• Strong Python and data warehouse design with ETL/ELT.
• Experience with AWS and cloud-native DevOps workflows.
• Expertise in CI/CD tooling (Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD).
• Hands-on Kubernetes and container orchestration experience.
• Knowledge of distributed systems, SQL/NoSQL data modeling, and Spark.

Responsibilities

• Design, implement, and manage scalable AWS cloud architectures.
• Develop and maintain CI/CD pipelines for build, test, deployment.
• Implement Infrastructure as Code using Terraform, CloudFormation, or Pulumi.
• Ensure security, performance, and high availability of cloud environments.
• Manage Kubernetes workloads (EKS/AKS/GKE) and container orchestration.
• Automate tasks using Bash, Python, or Go; monitor with Prometheus, Grafana, Datadog.
• Collaborate with dev teams to optimize cloud apps and DevOps workflows.
• Drive FinOps and cost-optimization strategies.

Skills

Data engineering

Python

CI/CD

Kubernetes

Data modelling

Big data

Airflow

Cloud platforms

English communication

Education

BSc/MSc in CS or Software Eng

Tools

Kubernetes

Terraform/ IaC

Spark

Jenkins

GitHub Actions

GitLab CI/CD

ArgoCD

Airflow

Prometheus/Grafana

CloudWatch

Job description

CAPGEMINI ENGINEERING

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 life-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

We are looking for a Data Engineer (AWS) to join an innovative project within the automotive sector.

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.

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 S.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.
• Familiarity with Standard AI/ML processes & Operations is greatly valued.
• 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, and proficiency in additional languages advantageous.

What You’ll Love About Working Here

• 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.