Data Engineer (Gcp)

Capgemini

Vila Nova da Barquinha

Híbrido

EUR 35 000 - 52 000

Tempo integral

Há 4 dias
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Vantagens oferecidas por esta oferta de emprego

Multicultural team
Work-life balance
National & international projects
Hybrid work
Career growth

Resumo da oferta

Capgemini Engineering in Portugal seeks a Data Engineer (GCP) to design and operate data ingestion pipelines, build robust data models, and optimise performance in BigQuery and Google Cloud Storage. You will work on hybrid projects across national and international clients, contributing to scalable data architectures.

The role emphasizes hands-on cloud data engineering with a focus on testing layers, orchestration, and observability, while offering career growth within a global services leader.

Qualificações

  • Testing - UPM Bronze / Recent / Historic / Serving Layers
  • Cloud Run - Data Ingestion into Big Query (including performance tuning)
  • Big Query
  • Google Cloud Storage (GCS)
  • Managed Airflow (Composer)
  • Google Cloud Logging and Alerting

Responsabilidades

  • Deploying and operationalising the Telco Data Model prototype.
  • Supporting feature expansion and integration activities.
  • Implementing data ingestion pipelines and optimising performance.
  • Building and maintaining orchestration workflows in Composer.
  • Setting up monitoring, logging, and alerting capabilities.
  • Supporting testing across the UPM data layers.

Conhecimentos

Testing - UPM Bronze / Recent / Hist
Cloud Run - Data Ingestion into BigQ
BigQuery
Google Cloud Storage (GCS)
Managed Airflow (Composer)
Google Cloud Logging and Alerting

Descrição da oferta de emprego

Data Engineer (GCP)

Fundão, Lisboa - Expo, VNG - Cais Gaia

Permanent | Experienced Professionals | Data & AI | ID 523687-en

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
  • Deploying and operationalising the Telco Data Model prototype.
  • Supporting feature expansion and integration activities.
  • Implementing data ingestion pipelines and optimising performance.
  • Building and maintaining orchestration workflows in Composer.
  • Setting up monitoring, logging, and alerting capabilities.
  • Supporting testing across the UPM data layers.
YOUR PROFILE
  • Testing - UPM Bronze / Recent / Historic / Serving Layers
  • Cloud Run - Data Ingestion into Big Query (including performance tuning)
  • Big Query
  • Google Cloud Storage (GCS)
  • Managed Airflow (Composer)
  • Google Cloud Logging and Alerting
WHAT YOU'LL LOVE ABOUT WORKING HERE
  • Join a multicultural and inclusive team environment.
  • Enjoy a supportive atmosphere promoting work-life balance.
  • Engage in exciting national and international projects.
  • Hybrid work.
  • Your career growth is central to our mission.
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.

Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.

  • Training and certifications programs.
  • Health and life insurance.
  • Referral program with bonuses for talent recommendations.
  • Great office locations.

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.

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