Senior Databricks Data Engineer — Cloud Data Pipelines

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

Job summary

Capgemini Polska is seeking an experienced Data Engineer to join our Insights & Data team in Poland. You will design and implement scalable data processing solutions using Databricks, Python, and cloud services, contributing to AI and data engineering initiatives.

You will collaborate with architects, ensure security, reliability and performance, and grow through extensive training and access to cutting-edge technologies.

Qualifications

• At least 1 year hands-on Databricks experience.
• Strong Python for automation and data transformation.
• Experience with AWS, Azure, or GCP.
• Good English communication skills.

Responsibilities

• Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
• Design, build, and enhance data pipelines with Python and cloud-native tools.
• Work closely with solution architects to define and uphold best practices in data engineering.
• Ensure data consistency, security, and scalability within cloud-based environments.

Skills

Databricks

Python

Cloud platforms

English

Data engineering

Tools

PySpark

Terraform

Bicep

Snowflake

Data Lake

Kafka

Spark Streaming

Job description

Capgemini Polska is seeking an experienced Data Engineer to join our Insights & Data team in Poland. You will design and implement scalable data processing solutions using Databricks, Python, and cloud services, contributing to AI and data engineering initiatives.

You will collaborate with architects, ensure security, reliability and performance, and grow through extensive training and access to cutting-edge technologies.