Azure Data Engineer - Hybrid Role with Scalable Pipelines

Capgemini; Wrocław; Hybrid; PLN 120,000 - 210,000; Full time

Benefits offered by this job

Medicover health care

Private life insurance

Hybrid working model

Job summary

Capgemini is seeking an experienced Data Engineer to design Azure-based data solutions for large datasets. You will develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake, collaborating with architects to enforce best practices in data engineering.

Strong experience in data engineering with Azure and Python for automation is required, along with excellent English communication.

Qualifications

• Experience designing Azure-based data solutions for large datasets.
• Proficiency in Python for data processing and automation.
• Fluency in English with strong communication skills.

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 data engineering practices.
• Ensure data quality, scalability, and security across Azure solutions.

Skills

Azure data engineering

Python for data processing

Strong communication & English

Tools

Databricks

Snowflake

Microsoft Fabric

Docker

Kubernetes

Azure Data Factory

Job description

Capgemini is seeking an experienced Data Engineer to design Azure-based data solutions for large datasets. You will develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake, collaborating with architects to enforce best practices in data engineering.

Strong experience in data engineering with Azure and Python for automation is required, along with excellent English communication.