Databricks Data Engineer — Cloud Pipelines & Growth

Capgemini; Wrocław; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Multisport card

Hybrid work model

Job summary

Capgemini, a leading global technology partner, is seeking a Data Engineer for its Insights & Data team in Wroclaw. You will design and implement data processing solutions using Databricks, build robust data pipelines with Python, and collaborate with architects to ensure secure, scalable cloud-based data architectures.

The role emphasizes strong English communication, hands-on Databricks experience, and cloud platform expertise (AWS/Azure/GCP) with a hybrid work model and access to extensive

Qualifications

• Strong experience in data engineering and Databricks
• Proficient in Python for automation and data transformation
• Experience with at least one major cloud platform (AWS/Azure/GCP)
• Strong communication skills and strong English language skills

Responsibilities

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

Skills

Databricks

Python

Cloud platforms (AWS/Azure/GCP)

English communication

Tools

Terraform

Bicep

Job description

Capgemini, a leading global technology partner, is seeking a Data Engineer for its Insights & Data team in Wroclaw. You will design and implement data processing solutions using Databricks, build robust data pipelines with Python, and collaborate with architects to ensure secure, scalable cloud-based data architectures.

The role emphasizes strong English communication, hands-on Databricks experience, and cloud platform expertise (AWS/Azure/GCP) with a hybrid work model and access to extensive