Senior Databricks Data Engineer - Cloud Data Pipelines & AI

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

Benefits offered by this job

Well-being culture

Training tracks access

Top Employer Poland 2024

Job summary

Capgemini Poland is looking for a Data Engineer to design and implement robust data processing solutions using Databricks for large-scale datasets. You will build data pipelines in Python, leverage cloud-native tools, and work with architects to ensure best practices across data engineering.

You will ensure data consistency, security, and scalability in cloud environments, collaborating with global teams. Requirements include 1+ year of Databricks experience, strong Python, and hands-on cloud

Qualifications

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

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

Skills

Databricks

Python

Cloud platforms

English communication

Tools

PySpark

Terraform

Job description

Capgemini Poland is looking for a Data Engineer to design and implement robust data processing solutions using Databricks for large-scale datasets. You will build data pipelines in Python, leverage cloud-native tools, and work with architects to ensure best practices across data engineering.

You will ensure data consistency, security, and scalability in cloud environments, collaborating with global teams. Requirements include 1+ year of Databricks experience, strong Python, and hands-on cloud