GCP Data Engineer — BigQuery Pipelines & Hybrid Work

Capgemini Engineering; Lisboa; Hybrid; EUR 42,000 - 68,000; Full time

Benefits offered by this job

Health and life insurance

Referral program with bonuses

Training and certifications programs

Great office locations

Job summary

Capgemini Engineering is seeking a data engineering professional to deploy and operationalise its Telco Data Model prototype. You will support feature expansion, implement data ingestion pipelines, and build orchestration workflows in Composer.

You will set up comprehensive monitoring, logging and alerting, and assist testing across UPM data layers. The role emphasizes Google Cloud technologies (BigQuery, GCS, Cloud Run, Composer) and a hybrid work arrangement, with opportunities to work on

Qualifications

• Experience with UPM testing across bronze, recent, historic, and serving layers.
• Experience with Google Cloud Run for data ingestion into BigQuery and performance tuning.
• Proficiency with BigQuery and Google Cloud Storage.
• Hands-on with Managed Airflow (Composer) and Cloud Logging/Alerting.

Responsibilities

• 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.

Skills

UPM Testing

Cloud Run

BigQuery

Cloud Storage

Composer (Airflow)

Cloud Logging & Alerting

Job description

Capgemini Engineering is seeking a data engineering professional to deploy and operationalise its Telco Data Model prototype. You will support feature expansion, implement data ingestion pipelines, and build orchestration workflows in Composer.

You will set up comprehensive monitoring, logging and alerting, and assist testing across UPM data layers. The role emphasizes Google Cloud technologies (BigQuery, GCS, Cloud Run, Composer) and a hybrid work arrangement, with opportunities to work on