Snowflake Data Engineer: Cloud Pipelines & AI

Capgemini; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Medicover healthcare

Private life insurance

Multisport card

Capgemini Helpline

NEXT learning tracks

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Hybrid work model

Home office package

Job summary

Capgemini in Poland, Warszawa, seeks a data engineering specialist to design and maintain Snowflake data pipelines and collaborate with cross-functional teams to meet data requirements, including migrating on-prem warehouses to Snowflake.

You will optimise data models, ensure data quality and security, and develop AI/ML solutions using cloud platforms and modern DevOps practices. The role offers a hybrid work model and extensive training and wellbeing benefits.

Qualifications

• At least 3 years in Big Data or Cloud projects with Snowflake hands-on experience.
• Understanding of Snowflake pricing models and cost optimisation.
• Experience designing data transformation pipelines with Snowflake or partners.
• Familiarity with Snowflake security model.
• Practical knowledge of at least one public cloud platform (Storage/Compute/Networking/DevOps).
• Basic SQL and one language: Python/Scala/Java/Bash.
• Very good command of English.

Responsibilities

• Design, develop, and maintain Snowflake data pipelines.
• Collaborate with cross-functional teams to understand data requirements.
• Optimize data models and schemas for performance and efficiency.
• Ensure data integrity, quality, and security throughout the lifecycle.
• Implement monitoring and alerting for issues.
• Plan and execute migration from on-prem to Snowflake.
• Develop AI/ML and Generative AI solutions.
• Stay updated on Snowflake best practices and emerging technologies.

Skills

Snowflake experience

Big Data

SQL

Python

Cloud platforms

Data modeling

English

Job description

Capgemini in Poland, Warszawa, seeks a data engineering specialist to design and maintain Snowflake data pipelines and collaborate with cross-functional teams to meet data requirements, including migrating on-prem warehouses to Snowflake.

You will optimise data models, ensure data quality and security, and develop AI/ML solutions using cloud platforms and modern DevOps practices. The role offers a hybrid work model and extensive training and wellbeing benefits.