GCP Data Engineer - Hybrid, BigQuery & Pipelines

Capgemini; Wrocław; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Capgemini in Wroclaw seeks a data engineer to design and optimize data pipelines on Google Cloud, building data lakes and warehouses with BigQuery and cloud-native services. You will ensure data quality, security, and performance while collaborating with architects and analytics teams.

The role requires strong SQL and programming skills (Python/Scala) and experience with Dataflow and Airflow. A hybrid work model is offered with onboarding and ongoing learning opportunities.

Qualifications

• Strong SQL and programming skills (Python, Scala).
• Experience with BigQuery, Cloud Storage, Dataflow, Airflow.
• Understanding of data modeling and distributed systems.

Responsibilities

• Build and optimize data pipelines (ETL/ELT) on Google Cloud.
• Develop data lakes and warehouses using BigQuery and cloud-native services.
• Ensure data quality, security, and performance.
• Collaborate with architects and analytics teams.
• Automate deployments using CI/CD and infrastructure as code practices.

Skills

SQL

Python

Scala

BigQuery

Dataflow

Airflow

Cloud Storage

Distributed systems

Tools

BigQuery

Airflow

Dataflow

Cloud Storage

Job description

Capgemini in Wroclaw seeks a data engineer to design and optimize data pipelines on Google Cloud, building data lakes and warehouses with BigQuery and cloud-native services. You will ensure data quality, security, and performance while collaborating with architects and analytics teams.

The role requires strong SQL and programming skills (Python/Scala) and experience with Dataflow and Airflow. A hybrid work model is offered with onboarding and ongoing learning opportunities.