Data Engineer

Capgemini Engineering; Lisboa; Híbrido; EUR 52 000 - 76 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work

Health and life insurance

Referral program with bonuses

Great office locations

Resumo da oferta

Capgemini Engineering in Lisbon is seeking a Data Engineer to join our Data Platform team. You will design, develop, and optimize scalable data solutions powering analytics, reporting, and business decisions.

The role emphasizes Python, PySpark, Databricks, Azure Cloud, and collaboration with cross-functional teams in an Agile environment. Hybrid work model and opportunities to grow with a global leader in engineering services.

Qualificações

• 4+ years of experience in Data Engineering or a similar role.
• Strong hands-on experience with Python, PySpark, and Databricks.
• Proven experience designing and maintaining production-grade data pipelines.
• Solid understanding of Azure Cloud environments.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Python, PySpark, and Databricks.
• Build efficient and reusable data processing and transformation frameworks following engineering best practices.
• Collaborate with Data Scientists, Data Analysts, and Software Engineers to deliver robust and scalable data solutions.
• Support data modeling activities for analytical and operational use cases.
• Deploy and manage data workloads within Azure Cloud environments.
• Contribute to CI/CD pipelines and deployment automation using Azure DevOps.
• Work within Agile teams, actively participating in sprint ceremonies.
• Ensure high standards of code quality, testing, version control, and documentation using Git and modern engineering practices.

Conhecimentos

Python

PySpark

Databricks

Azure Cloud

Agile methodologies

Data Modeling techniques

Git & version control

CI/CD pipelines

Communication skills

Problem-solving

Ferramentas

Azure DevOps

Git

Descrição da oferta de emprego

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

As a Data Engineer, you will join our Data Platform team and play a critical role in designing, developing, and optimizing scalable data solutions that power analytics, reporting, and business decision-making.

You will contribute to building a robust and reliable data ecosystem, working closely with cross-functional teams to deliver high-quality data products.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, PySpark, and Databricks
• Build efficient and reusable data processing and transformation frameworks following engineering best practices
• Collaborate with Data Scientists, Data Analysts, and Software Engineers to deliver robust and scalable data solutions
• Support data modeling activities for analytical and operational use cases
• Deploy and manage data workloads within Azure Cloud environments
• Contribute to CI/CD pipelines and deployment automation using Azure DevOps
• Work within Agile teams, actively participating in sprint ceremonies
• Ensure high standards of code quality, testing, version control, and documentation using Git and modern engineering practices

YOUR PROFILE

We are looking for a professional combining strong technical expertise with a collaborative mindset and a passion for building reliable data solutions.

Required Skills & Experience

• 4+ years of experience in Data Engineering or a similar role
• Strong hands-on experience with:
• Python
• PySpark
• Databricks
• Proven experience designing and maintaining production-grade data pipelines
• Solid understanding of Azure Cloud environments

Additional Experience With

• Azure DevOps
• Git & version control systems
• CI/CD pipelines
• Data Modeling techniques
• Agile methodologies (Scrum, Kanban)

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent communication and collaboration skills
• Ability to work independently while contributing effectively within cross-functional teams
• Proactive mindset with attention to detail and quality

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 projectsHealth and life insurance
• Referral program with bonuses for talent recommendations
• Great office locations
• Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering, and business operations.