Snowflake Data Engineer: Cloud Pipelines, AI & DataOps

Capgemini; Wrocław; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medicover health care

Private life insurance

Multisport card

Wellbeing program

Job summary

Capgemini in Poland invites you to join a team delivering state-of-the-art data solutions with Snowflake, AI, and NLP capabilities. You will design and optimize data pipelines across cloud platforms, collaborating with cross-functional teams to turn complex datasets into actionable insights.

The role emphasizes data governance, security, and scalable architectures, with hands-on Snowflake experience and a passion for continuous learning in a hybrid work environment.

Qualifications

• ≥3 years in Big Data or Cloud projects handling large/unstructured data.
• Hands-on Snowflake experience (≥1 year).
• Understanding Snowflake pricing and cost optimization.
• Experience designing data transformation pipelines in Snowflake or with partners.
• Familiarity with Snowflake security model.
• Experience with at least one Public Cloud platform (Storage/Compute/Networking/DevOps).
• Basic SQL and one language: Python/Scala/Java/Bash.
• Excellent command of English.

Responsibilities

• Design, develop, and maintain Snowflake data pipelines.
• Collaborate with cross-functional teams to meet data needs.
• Optimize data models and schemas for performance.
• Ensure data integrity, quality, and security across the lifecycle.
• Implement monitoring and alerting to address 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

Big Data

Snowflake

SQL

Python/Scala/Java

Tools

Snowflake

Job description

Capgemini in Poland invites you to join a team delivering state-of-the-art data solutions with Snowflake, AI, and NLP capabilities. You will design and optimize data pipelines across cloud platforms, collaborating with cross-functional teams to turn complex datasets into actionable insights.

The role emphasizes data governance, security, and scalable architectures, with hands-on Snowflake experience and a passion for continuous learning in a hybrid work environment.