Azure Data Engineer — Build Scalable Cloud Data Pipelines

Capgemini; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medicover

Private life insurance

Multisport card

Capgemini Helpline

NEXT platform training

Home office package

Hybrid work model

Job summary

Capgemini is seeking a skilled Data Engineer to design and implement Azure-based data solutions for large-scale datasets. You will develop and optimize end-to-end data pipelines using tools like Azure Data Factory, Databricks, or Snowflake, and collaborate with architects to enforce best practices in data engineering.

You will contribute to data quality, scalability, and security across Azure platforms, while leveraging Python for processing and automation and maintaining strong English

Qualifications

• Experience in data engineering with Azure.
• Strong Python for data processing and automation.
• Hands-on experience with Databricks, Snowflake, or Microsoft Fabric.
• Excellent communication skills and very good English.

Responsibilities

• Design and implement Azure-based data solutions for large-scale datasets.
• Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake.
• Collaborate with solution architects to implement best practices in data engineering.
• Ensure data quality, scalability, and security across Azure-based solutions.

Skills

Strong Python for data processing

Strong communication skills

Very good English language skills

Education

Bachelors or higher in a related field

Tools

Azure

Databricks

Snowflake

Microsoft Fabric

Docker

Kubernetes

Job description

Capgemini is seeking a skilled Data Engineer to design and implement Azure-based data solutions for large-scale datasets. You will develop and optimize end-to-end data pipelines using tools like Azure Data Factory, Databricks, or Snowflake, and collaborate with architects to enforce best practices in data engineering.

You will contribute to data quality, scalability, and security across Azure platforms, while leveraging Python for processing and automation and maintaining strong English