GCP Data Engineer: BigQuery, Data Lakes & CI/CD

Capgemini; Polska; Hybrid; PLN 150,000 - 230,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Multisport card

Hybrid work model

Job summary

Capgemini Poland is seeking a data engineer to build and optimize data pipelines on Google Cloud, develop data lakes and warehouses with BigQuery, and ensure data quality and security. You will collaborate with architects and analytics teams and automate deployments using CI/CD and IaC practices.

The role requires strong SQL and programming skills (Python, Scala), plus experience with BigQuery, Dataflow, and Airflow, within a hybrid work environment.

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

Distributed systems

Tools

BigQuery

Cloud Storage

Dataflow

Airflow

Job description

Capgemini Poland is seeking a data engineer to build and optimize data pipelines on Google Cloud, develop data lakes and warehouses with BigQuery, and ensure data quality and security. You will collaborate with architects and analytics teams and automate deployments using CI/CD and IaC practices.

The role requires strong SQL and programming skills (Python, Scala), plus experience with BigQuery, Dataflow, and Airflow, within a hybrid work environment.