Azure Data Engineer: Build Scalable Cloud Data Pipelines

Capgemini; Kraków; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Multisport card

Hybrid working model

Job summary

Capgemini is seeking a data engineer to join the Insights & Data team in Kraków, Poland, 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 ensure best practices and strong data quality, scalability, and security across Azure platforms.

Qualifications

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

Responsibilities

• Design and implement Azure-based data solutions for large-scale and unstructured 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

Data engineering

English

Tools

Databricks

Snowflake

Microsoft Fabric

Data Factory

Synapse Analytics

Azure Functions

Docker

Kubernetes

Job description

Capgemini is seeking a data engineer to join the Insights & Data team in Kraków, Poland, 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 ensure best practices and strong data quality, scalability, and security across Azure platforms.