Azure Data Engineer — Build Scalable Data Pipelines

Capgemini; Województwo pomorskie; Hybrid; PLN 120,000 - 190,000; Full time

Benefits offered by this job

Medicover

Private life insurance

Multisport

Capgemini Helpline

Wellbeing podcast

Job summary

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

The role emphasizes data quality, scalability and security, with a hybrid work model after onboarding.

Qualifications

• Data engineering experience with Azure
• Strong Python for data processing and automation
• Hands-on with Databricks, Snowflake or Microsoft Fabric
• Excellent English 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 define best practices in data engineering
• Ensure data quality, scalability, and security across Azure-based solutions

Skills

Azure

Python

Databricks

Snowflake

Microsoft Fabric

English fluency

Tools

Databricks

Snowflake

Microsoft Fabric

Job description

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

The role emphasizes data quality, scalability and security, with a hybrid work model after onboarding.