Senior Databricks Data Engineer: Cloud Pipelines & AI

Capgemini; Polska; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Well-being culture and support

70+ training tracks on NEXT platform

Top Employer Poland 2024

Job summary

Capgemini Polska is seeking a data engineer to design and implement data processing solutions using Databricks for large-scale datasets within cloud environments. You will build and optimize data pipelines using Python and cloud-native tools, collaborating with architects to uphold best practices in data engineering.

You will work with cloud platforms such as AWS/Azure/GCP, ensuring data consistency, security, and scalability, while communicating effectively in English with global teams.

Qualifications

• At least 1 year hands-on Databricks experience.
• Proficient in Python for automation and data transformation.
• Experience with at least one major cloud platform (AWS/Azure/GCP).
• Strong communication and 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 best practices in data engineering.
• Ensure data consistency, security, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms

English

Communication

Job description

Capgemini Polska is seeking a data engineer to design and implement data processing solutions using Databricks for large-scale datasets within cloud environments. You will build and optimize data pipelines using Python and cloud-native tools, collaborating with architects to uphold best practices in data engineering.

You will work with cloud platforms such as AWS/Azure/GCP, ensuring data consistency, security, and scalability, while communicating effectively in English with global teams.