Capgemini
Posted 1mo ago

Machine Learning Engineer

Capgemini
Lisboa, Lisbon, Portugal
HybridFull Time
Responsibilities
  • building pipelines
  • orchestrating workflows
  • monitoring pipelines
Requirements
  • Degree in a quantitative field
  • 3+ years building/operating production data pipelines
  • Strong Python/PySpark/SQL skills
  • Airflow experience
  • CI/CD and GitHub familiarity
  • Distributed computing and data quality expertise
Technical tools mentioned
PythonPySparkSQLAirflowAstronomerGitHub

Job description

Machine Learning Engineer

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

You will join an agile, multidisciplinary Data Science team working on recommendation products for residential and SME customers.

Your initial focus will be to consolidate existing recommendation processes and build reliable, scalable data foundations that enable the future integration of ML and AI models.

You will:

  • Design, build and maintain scalable data pipelines using Python, PySpark and SQL.
  • Orchestrate workflows with Airflow and Astronomer.
  • Implement automated testing, deployment and CI/CD processes using GitHub.
  • Ensure data quality, observability and timely delivery in line with agreed SLAs.
  • Monitor production pipelines, troubleshoot incidents and automate recurring operational tasks.
  • Structure reusable data products within a data mesh environment.
  • Collaborate with Data Scientists, Product Owners and business stakeholders.
  • Progressively integrate ML/AI models into production and take on more Data Science responsibilities as the product evolves.

YOUR PROFILE:

  • Degree in Computer Science, Engineering, Mathematics, Statistics or a related quantitative field.
  • At least 3 years of experience building and operating production data pipelines.
  • Strong knowledge of Python and/or PySpark, as well as SQL.
  • Experience with workflow orchestration tools such as Airflow and with CI/CD practices.
  • Good understanding of distributed computing and large-scale data processing.
  • Experience with data modelling, testing, validation and observability.
  • Familiarity with Machine Learning workflows and a strong interest in progressing towards Data Science.
  • Strong analytical, troubleshooting and problem-solving skills.
  • Ownership mindset, attention to data reliability and focus on business impact.
  • Good communication skills and ability to work with technical and business teams.

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 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.





Ref. code: 
522129
Posted on: 
21 Jul 2026
Experience Level: 
Experienced Professionals
Contract Type: 
Permanent
Location: 

Lisboa, PT




Brand: 
Capgemini Engineering
Professional Community: 
Data & AI




About Capgemini

Provides global IT consulting and digital transformation services.

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