GCP Data Engineer: Build Scalable Pipelines & Lakes (Hybrid)

Capgemini; Poznań; Hybrid; PLN 120,000 - 190,000; Full time

Benefits offered by this job

Well-being support

Extensive training

Performance feedback

Hybrid working model

Job summary

Capgemini Poland is seeking a data engineering professional to join Insights & Data. You will build and optimize data pipelines on Google Cloud, develop data lakes and warehouses with BigQuery, and ensure data quality, security and performance across platforms.

You will collaborate with architects and analytics teams and automate deployments with CI/CD and infrastructure‑as‑code. The role offers a hybrid work model and access to extensive training.

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

BigQuery

Cloud Storage

Dataflow

Airflow

Data modeling

Distributed systems

Job description

Capgemini Poland is seeking a data engineering professional to join Insights & Data. You will build and optimize data pipelines on Google Cloud, develop data lakes and warehouses with BigQuery, and ensure data quality, security and performance across platforms.

You will collaborate with architects and analytics teams and automate deployments with CI/CD and infrastructure‑as‑code. The role offers a hybrid work model and access to extensive training.