GCP Data Engineer: Build Scalable Data Pipelines & Lakes

Capgemini; Kraków; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Well-being culture

Hybrid working model

Training tracks & certifications

GetSuccess performance management

Job summary

Capgemini Kraków is seeking a data engineering professional to build and optimize ETL/ELT pipelines on Google Cloud, develop data lakes and warehouses with BigQuery, and ensure data quality and performance in collaboration with architects and analytics teams.

You'll work in a hybrid model, leverage CI/CD and infrastructure as code practices, and benefit from extensive training tracks and wellbeing initiatives across Capgemini Polska.

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.

Skills

SQL

Python

Scala

Tools

BigQuery

Cloud Storage

Dataflow

Airflow

Job description

Capgemini Kraków is seeking a data engineering professional to build and optimize ETL/ELT pipelines on Google Cloud, develop data lakes and warehouses with BigQuery, and ensure data quality and performance in collaboration with architects and analytics teams.

You'll work in a hybrid model, leverage CI/CD and infrastructure as code practices, and benefit from extensive training tracks and wellbeing initiatives across Capgemini Polska.