Cloud Data Engineer

Vila Nova de Gaia, PT

Actively hiring, first seen by us today

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Design, develop and maintain backend services and REST APIs in Python and Flask
Build scalable backend applications with Redis caching
Deploy and manage containerized applications on Docker, Kubernetes and Azure
Implement and maintain CI/CD pipelines in Azure DevOps
Run Databricks and Apache Spark workflows for large-scale data processing

From the employer’s posting

Design, develop, and maintain backend services and REST APIs using Python and Flask API.

Build scalable and high-performance backend applications with Redis caching mechanisms.

Develop and manage containerized applications using Docker and Kubernetes.

Implement and maintain CI/CD pipelines using Azure DevOps.

Work with Databricks and Apache Spark for large-scale data processing and transformation workflows.

What you’ll bring

All qualifications

Core experience

Strong experience with Python development
Experience building and maintaining REST APIs using Flask
Hands-on experience with Docker and Kubernetes
Experience with Databricks and Apache Spark for data processing
Solid understanding of Microsoft Azure cloud services

Qualification wording

Strong experience with Python development.

Experience building and maintaining REST APIs using Flask.

Hands-on experience with Docker and Kubernetes.

Experience with Databricks and Apache Spark for data processing.

Solid understanding of Microsoft Azure cloud services.

Apply at Capgemini Service SAS

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 5, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

From 11,033 similar postings that came down. Coming down is not always a hire.

Capgemini Service SAS is hiring

341 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
Azure
Databricks
Docker
Kubernetes
PostgreSQL
Redis
Spark
Flask

Where the posting names them

YOUR ROLE - Design, develop, and maintain backend services and REST APIs using Python and Flask API. - Build scalable and high-performance backend applications with Redis caching mechanisms.

YOUR PROFILE - Strong experience with Python development. - Experience building and maintaining REST APIs using Flask.

- Collaborate with cross-functional teams following Agile/Scrum methodologies. - Implement and maintain CI/CD pipelines using Azure DevOps. - Deploy and manage applications in Azure cloud/container environments.

- Implement and maintain CI/CD pipelines using Azure DevOps. - Deploy and manage applications in Azure cloud/container environments. - Work with Databricks and Apache Spark for large-scale data processing and transformation workflows.

- Knowledge of Redis for caching and performance optimization. - Solid understanding of Microsoft Azure cloud services. - Proficiency in PostgreSQL and database management.

- Deploy and manage applications in Azure cloud/container environments. - Work with Databricks and Apache Spark for large-scale data processing and transformation workflows. - Develop and optimize database operations using PostgreSQL.

- Hands-on experience with Docker and Kubernetes. - Experience with Databricks and Apache Spark for data processing. - Experience working within Agile/Scrum environments.

- Build scalable and high-performance backend applications with Redis caching mechanisms. - Develop and manage containerized applications using Docker and Kubernetes. - Handle end-to-end application development, deployment, enhancement, and support activities.

- Experience building and maintaining REST APIs using Flask. - Hands-on experience with Docker and Kubernetes. - Experience with Databricks and Apache Spark for data processing.

- Work with Databricks and Apache Spark for large-scale data processing and transformation workflows. - Develop and optimize database operations using PostgreSQL. - Participate in sprint planning, code reviews, testing, debugging, and production support activities.

- Solid understanding of Microsoft Azure cloud services. - Proficiency in PostgreSQL and database management. - Knowledge of Git and version control best practices.

- Design, develop, and maintain backend services and REST APIs using Python and Flask API. - Build scalable and high-performance backend applications with Redis caching mechanisms. - Develop and manage containerized applications using Docker and Kubernetes.

- Experience working within Agile/Scrum environments. - Knowledge of Redis for caching and performance optimization. - Solid understanding of Microsoft Azure cloud services.

- Strong experience with Python development. - Experience building and maintaining REST APIs using Flask. - Hands-on experience with Docker and Kubernetes.

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About Capgemini Service SAS

People: About 11,267 in 2024.Benefit plan filings (Form 5500)
Company: Listed as CAP.PA.
H-1B visas: 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

Design, develop, and maintain backend services and REST APIs using Python and Flask API.
Build scalable and high-performance backend applications with Redis caching mechanisms.
Develop and manage containerized applications using Docker and Kubernetes.
Handle end-to-end application development, deployment, enhancement, and support activities.
Collaborate with cross-functional teams following Agile/Scrum methodologies.
Implement and maintain CI/CD pipelines using Azure DevOps.
Deploy and manage applications in Azure cloud/container environments.
Work with Databricks and Apache Spark for large-scale data processing and transformation workflows.
Develop and optimize database operations using PostgreSQL.
Participate in sprint planning, code reviews, testing, debugging, and production support activities.
Ensure application scalability, reliability, security, and performance optimization.

YOUR PROFILE

Strong experience with Python development.
Experience building and maintaining REST APIs using Flask.
Hands-on experience with Docker and Kubernetes.
Experience with Databricks and Apache Spark for data processing.
Experience working within Agile/Scrum environments.
Knowledge of Redis for caching and performance optimization.
Solid understanding of Microsoft Azure cloud services.
Proficiency in PostgreSQL and database management.
Knowledge of Git and version control best practices.

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 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.

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