GCP Data Engineer - Hybrid, BigQuery & Pipelines

Capgemini; Poznań; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Well-being culture and health benefits

Training and certification programs

Hybrid work model

Job summary

Capgemini Poland is seeking 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, collaborate with architects and analytics teams, and automate deployments using CI/CD and infrastructure as code. The role offers a hybrid work model and access to extensive training resources and wellbeing programs.

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

BigQuery

Airflow

Dataflow

Cloud Storage

Distributed systems

Tools

CI/CD

IaC

Job description

Capgemini Poland is seeking 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, collaborate with architects and analytics teams, and automate deployments using CI/CD and infrastructure as code. The role offers a hybrid work model and access to extensive training resources and wellbeing programs.