Senior Google Data Engineer - GCP Pipelines & BigQuery

JobCubby; Kraków; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid working model

Well-being support (Medicover, life/AD

Training & certifications

Job summary

Capgemini Polska is seeking a Google Data Engineer to design, build, and maintain scalable data platforms and pipelines on Google Cloud. You will work with large datasets, ensuring data quality and performance across the data lifecycle, collaborating with architects, analytics teams, and business stakeholders to deliver data products that support reporting, analytics, and AI use cases.

You will build ETL/ELT pipelines, develop data lakes and warehouses, and automate deployments using CI/CD and

Qualifications

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

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

Cloud Storage

Dataflow

Airflow

Data modeling

Distributed systems

GCP certification

Job description

Capgemini Polska is seeking a Google Data Engineer to design, build, and maintain scalable data platforms and pipelines on Google Cloud. You will work with large datasets, ensuring data quality and performance across the data lifecycle, collaborating with architects, analytics teams, and business stakeholders to deliver data products that support reporting, analytics, and AI use cases.

You will build ETL/ELT pipelines, develop data lakes and warehouses, and automate deployments using CI/CD and