Azure Data Engineer: Build Scalable Cloud Pipelines

Capgemini; Polska; Hybrid; PLN 140,000 - 190,000; Full time

Benefits offered by this job

Medicover health care

Private life insurance

Multisport card

Capgemini Helpline for wellbeing

Job summary

Capgemini is seeking a data engineer to design and implement Azure-based data solutions for large-scale datasets. You will develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake, and collaborate with solution architects to apply data engineering best practices.

You will ensure data quality, scalability, and security across all Azure-based solutions while leveraging Python for data processing and automation, with strong English communication throughout the team.

Qualifications

• Strong experience in data engineering with Azure.
• Python for data processing and automation.
• Hands-on with Databricks, Snowflake, or Microsoft Fabric.

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 define best practices in data engineering.
• Ensure data quality, scalability, and security across all Azure solutions.

Skills

Azure data engineering

Python data processing

English proficiency

Tools

Databricks

Snowflake

Microsoft Fabric

PySpark

Job description

Capgemini is seeking a data engineer to design and implement Azure-based data solutions for large-scale datasets. You will develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake, and collaborate with solution architects to apply data engineering best practices.

You will ensure data quality, scalability, and security across all Azure-based solutions while leveraging Python for data processing and automation, with strong English communication throughout the team.