Databricks Data Engineer - Cloud Pipelines & AI

Capgemini; Wrocław; Hybrid; PLN 140,000 - 210,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Sports card

Capgemini Helpline

Job summary

Capgemini Polska seeks a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets in cloud-native environments. You will build data pipelines with Python and collaborate with architects to ensure security and scalability.

Preferred candidates have 1+ year Databricks experience, strong Python skills, and at least one major cloud platform (AWS/Azure/GCP). Proficiency in English is essential for communication and teamwork.

Qualifications

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

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 data engineering best practices.
• Ensure data security, consistency, and scalability in cloud environments.

Skills

Python

Databricks

AWS

Azure

GCP

English

Communication

Tools

Terraform

Bicep

Kafka

Spark Streaming

PySpark

Job description

Capgemini Polska seeks a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets in cloud-native environments. You will build data pipelines with Python and collaborate with architects to ensure security and scalability.

Preferred candidates have 1+ year Databricks experience, strong Python skills, and at least one major cloud platform (AWS/Azure/GCP). Proficiency in English is essential for communication and teamwork.