Snowflake Data Engineer: Cloud Pipelines & AI Solutions

Capgemini; Województwo wielkopolskie; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medicover medical care

Multisport card

Therapeutic Capgemini Helpline

Hybrid working model

Training tracks on NEXT platform

Job summary

Capgemini Polska is seeking a skilled Big Data/Cloud professional to design and maintain Snowflake data pipelines supporting diverse business functions. You will collaborate with cross-functional teams to translate data requirements into scalable solutions, while optimizing data models for performance and cost.

The role emphasizes data integrity, security, and proactive monitoring. You will contribute to AI/ML initiatives and stay updated on Snowflake best practices within a hybrid work

Qualifications

• 3+ years of experience in Big Data or Cloud projects involving large/unstructured data
• Hands-on Snowflake experience (at least 1 year)
• Knowledge of Snowflake pricing and cost optimization
• Experience designing data transformation pipelines with Snowflake or partners
• Familiarity with Snowflake security model and cloud platforms

Responsibilities

• Design, develop, and maintain Snowflake data pipelines for multiple business functions
• Collaborate with cross-functional teams to gather data requirements and deliver scalable solutions
• Optimize data models and schemas for performance and cost efficiency
• Ensure data integrity, quality, and security across the data lifecycle
• Implement monitoring and alerting to address issues proactively
• Plan migrations from on-premises warehouses to Snowflake
• Develop AI/ML and Generative AI solutions as part of data projects
• Stay current with Snowflake best practices and emerging technologies

Skills

Snowflake

Big Data

SQL

Python/Scala/Java

English

Job description

Capgemini Polska is seeking a skilled Big Data/Cloud professional to design and maintain Snowflake data pipelines supporting diverse business functions. You will collaborate with cross-functional teams to translate data requirements into scalable solutions, while optimizing data models for performance and cost.

The role emphasizes data integrity, security, and proactive monitoring. You will contribute to AI/ML initiatives and stay updated on Snowflake best practices within a hybrid work