Databricks Data Engineer — Build Scalable Cloud Pipelines

Capgemini; Polska; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Well-being culture with private health

Private life insurance

Sports card

Capgemini Helpline for wellbeing

Extensive training & certifications

Job summary

Capgemini Polska is seeking a data engineer to design and implement scalable data processing solutions using Databricks. You will build data pipelines in Python, work with leading cloud platforms, and collaborate with architects to ensure secure, scalable systems. Strong English communication is required for cross-team collaboration.

The role emphasizes practical Databricks expertise and hands-on data engineering across SDLC in a dynamic Capgemini environment.

Qualifications

• 1+ year hands-on Databricks experience.
• Strong Python for automation and data transformation.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Strong communication skills in English.

Responsibilities

• Design and implement data processing solutions using Databricks for large-scale datasets.
• Build and enhance data pipelines with Python and cloud-native tools.
• Collaborate with solution architects to uphold best practices in data engineering.
• Ensure data security, consistency, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms

English communication

Tools

Databricks

PySpark

Terraform

CI/CD

Job description

Capgemini Polska is seeking a data engineer to design and implement scalable data processing solutions using Databricks. You will build data pipelines in Python, work with leading cloud platforms, and collaborate with architects to ensure secure, scalable systems. Strong English communication is required for cross-team collaboration.

The role emphasizes practical Databricks expertise and hands-on data engineering across SDLC in a dynamic Capgemini environment.