Senior Databricks Data Engineer — Cloud & AI Innovator

Capgemini; Kraków; On-site; PLN 140,000 - 210,000; Full time

Benefits offered by this job

Well-being culture

Training tracks access (NEXT)

Top Employer Poland 2024

Cutting-edge technology

Job summary

Capgemini Kraków is seeking a data engineer to design and build scalable data pipelines using Databricks, Python, and cloud-native tools. You will collaborate with architects to enforce best practices in data engineering.

Join a global team focusing on AI, data science, and streaming data. The role emphasizes data security, performance, and cloud readiness, with learning tracks and well-being programs available.

Qualifications

• At least 1 year hands-on Databricks experience.
• Strong Python skills for data transformation and automation.
• 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.
• Work closely with solution architects to uphold data engineering best practices.
• Ensure data consistency, security, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms

English

Tools

Terraform

Bicep

Kafka

Spark Streaming

Job description

Capgemini Kraków is seeking a data engineer to design and build scalable data pipelines using Databricks, Python, and cloud-native tools. You will collaborate with architects to enforce best practices in data engineering.

Join a global team focusing on AI, data science, and streaming data. The role emphasizes data security, performance, and cloud readiness, with learning tracks and well-being programs available.