Snowflake Data Engineer - Cloud, AI & Scalable Pipelines

Capgemini; Poznań; Hybrid; PLN 150,000 - 210,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Multisport card

Helpline therapy

NEXT training tracks

Job summary

Capgemini Poland is seeking a Data Engineer with at least 3 years in Big Data or Cloud projects to design, develop, and maintain Snowflake data pipelines in a hybrid Poznań office.

You will collaborate with cross‑functional teams to understand data requirements, optimize data models, ensure data integrity and security, and plan migrations from on‑prem warehouses to Snowflake, while exploring AI/ML solutions and best practices.

Qualifications

• At least 3 years of experience in Big Data or Cloud projects.
• Hands-on Snowflake experience (≥1 year) and knowledge of Snowflake pricing.
• Experience designing data transformation pipelines with Snowflake or partners.
• Familiarity with Snowflake security model.
• Practical knowledge of at least one public cloud platform in Storage, Compute or DevOps, with project experience.
• Basic SQL and one programming 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 and implement scalable solutions.
• Optimize data models and schemas for performance and efficiency.
• Ensure data integrity, quality, and security throughout the data lifecycle.
• Implement monitoring and alerting systems to address issues.
• Plan and execute migration from on-prem data warehouses to Snowflake.
• Develop AI, ML and Generative AI solutions.
• Stay updated on Snowflake best practices and emerging technologies.

Skills

Snowflake

Big Data

Cloud

Python

Scala

Java

SQL

English

Job description

Capgemini Poland is seeking a Data Engineer with at least 3 years in Big Data or Cloud projects to design, develop, and maintain Snowflake data pipelines in a hybrid Poznań office.

You will collaborate with cross‑functional teams to understand data requirements, optimize data models, ensure data integrity and security, and plan migrations from on‑prem warehouses to Snowflake, while exploring AI/ML solutions and best practices.