Azure Data Engineer: Build Scalable Data Pipelines

Capgemini; Wrocław; Hybrid; PLN 180,000 - 250,000; Full time

Benefits offered by this job

Medicover health insurance

Private life insurance

Multisport card

Capgemini Helpline

Job summary

Capgemini is seeking a data engineer to join the Insights & Data team in Poland. You will design and implement Azure-based data solutions for large-scale datasets, and develop pipelines using Azure Data Factory, Databricks, or Snowflake.

You will collaborate with solution architects to enforce best practices, ensure data quality, scalability, and security, and contribute to a dynamic, global data platform across cloud services.

Qualifications

• Strong data engineering experience with Azure.
• Strong Python skills for data processing and automation.
• Hands-on experience 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 and implement best practices in data engineering.
• Ensure data quality, scalability, and security across all Azure-based solutions.

Skills

Azure

Python

Databricks

Snowflake

English

Tools

Docker

Kubernetes

Terraform

Bicep

Data Factory

Job description

Capgemini is seeking a data engineer to join the Insights & Data team in Poland. You will design and implement Azure-based data solutions for large-scale datasets, and develop pipelines using Azure Data Factory, Databricks, or Snowflake.

You will collaborate with solution architects to enforce best practices, ensure data quality, scalability, and security, and contribute to a dynamic, global data platform across cloud services.