Senior Databricks Data Engineer | Cloud Data Pipelines

Capgemini; Katowice; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Multisport card

Hybrid work model

Job summary

Capgemini Polska, a leading global provider of technology and digital transformation services, seeks a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build robust data pipelines in Python and collaborate with solution architects to uphold best practices in data engineering.

Join a dynamic team that works across AWS, Azure, and GCP, ensuring data security and scalable cloud architectures while growing through extensive training

Qualifications

• Data engineering experience with Databricks (at least 1 year).
• Python proficiency for automation and data transformation.
• Experience with AWS, Azure, or GCP cloud platforms.
• 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 uphold data engineering best practices.
• Ensure data consistency, security, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms

Data engineering

Communication

English

Tools

SQL

Terraform

Bicep

PySpark

Kafka

Job description

Capgemini Polska, a leading global provider of technology and digital transformation services, seeks a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build robust data pipelines in Python and collaborate with solution architects to uphold best practices in data engineering.

Join a dynamic team that works across AWS, Azure, and GCP, ensuring data security and scalable cloud architectures while growing through extensive training