Senior Databricks Data Engineer - Cloud & AI Innovation

Capgemini; Województwo pomorskie; On-site; PLN 180,000 - 280,000; Full time

Job summary

Capgemini Poland is seeking a data engineering professional to design and implement scalable data processing solutions using Databricks. You will build robust data pipelines with Python and cloud-native tools, collaborating closely with solution architects to enforce best practices in data engineering.

The role requires hands-on Databricks experience, proficiency in Python for data transformation, and experience with at least one major cloud platform (AWS, Azure, or GCP).

Qualifications

• Proven data engineering experience with modern data platforms.
• Hands-on Databricks expertise (1+ year).
• Python for automation and data transformation.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Strong communication and English language 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 define 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

PySpark

Snowflake

Synapse

Job description

Capgemini Poland is seeking a data engineering professional to design and implement scalable data processing solutions using Databricks. You will build robust data pipelines with Python and cloud-native tools, collaborating closely with solution architects to enforce best practices in data engineering.

The role requires hands-on Databricks experience, proficiency in Python for data transformation, and experience with at least one major cloud platform (AWS, Azure, or GCP).