GCP Data Engineer: Build BigQuery Pipelines & Data Lakes

JobCubby; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Medical care

Private life insurance

Multisport card

Therapeutic support

Educational podcast

Training tracks

Certification opportunities

Language learning platform

Ergonomic equipment

Home office package

Job summary

Capgemini is seeking a Data Engineer to build and optimize data pipelines on Google Cloud. You will develop data lakes and warehouses using BigQuery and other cloud-native services, ensuring data quality and security while maintaining high performance.

Join a team delivering state-of-the-art data solutions and SDLC-driven projects across cloud platforms like AWS, Azure, and GCP. The role emphasizes collaboration, automation, and continuous learning within a hybrid work environment.

Qualifications

• Proficient in SQL and programming (Python/Scala).
• Experience with Google Cloud services (BigQuery, Dataflow, Airflow).
• Google Cloud Data Engineer certification preferred.

Responsibilities

• Build and optimize data pipelines (ETL/ELT).
• Develop data lakes and warehouses on cloud platforms (BigQuery).
• Ensure data quality, security and performance.
• Collaborate with architects and analytics teams.
• Automate deployments using CI/CD and IaC.

Skills

SQL

Python

Scala

Tools

BigQuery

Dataflow

Airflow

Cloud Storage

Job description

Capgemini is seeking a Data Engineer to build and optimize data pipelines on Google Cloud. You will develop data lakes and warehouses using BigQuery and other cloud-native services, ensuring data quality and security while maintaining high performance.

Join a team delivering state-of-the-art data solutions and SDLC-driven projects across cloud platforms like AWS, Azure, and GCP. The role emphasizes collaboration, automation, and continuous learning within a hybrid work environment.