Snowflake Technical Trainer

Seargin; Województwo mazowieckie; On-site; PLN 165,000 - 248,000; Part time

Job summary

Seargin is seeking a senior, hands-on Snowflake Trainer to deliver practical technical training to Data Engineers, SQL Developers and BI professionals transitioning from MS SQL Server. The role requires creating materials, exercises, live demos and Q&A, leveraging enterprise best practices and real-world implementation experience.

The trainer will run a focused 2-day hands-on program covering Snowflake SQL, architecture, ingestion, Dynamic Tables, dbt, cost optimization, Power BI integration and

Qualifications

• 5+ years of experience in Data Engineering / Data Warehousing, including strong hands-on Snowflake expertise.
• Advanced knowledge of Snowflake SQL and Microsoft SQL Server (T-SQL), including differences, migration considerations and best practices.
• Strong understanding of Snowflake architecture, Snowsight, VS Code integration, database objects, metadata and SQL development.
• Practical experience with Snowflake Dynamic Tables, ELT pipelines, incremental/full refresh, TARGET_LAG and raw → curated → serving architecture.
• Experience with data ingestion and Azure integration (Azure Blob Storage, ADF, stages, COPY INTO).
• Working knowledge of dbt on Snowflake, including models, tests, lineage and orchestration.
• Strong expertise in performance tuning and cost optimization (Query Profile, caching, clustering, pruning, warehouse management, resource monitors).
• Knowledge of Snowflake security and governance (RBAC, masking, row access policies, tagging, Time Travel, cloning).
• Experience with Power BI and Snowflake integration, particularly DirectQuery performance optimization and reporting architecture.
• Familiarity with Snowflake Cortex AI, Cortex Analyst and CoCo, with the ability to demonstrate practical use cases.
• Proven experience delivering technical training, hands-on workshops and live/online demonstrations

Responsibilities

• Deliver comprehensive training covering Snowflake SQL vs T-SQL, platform features, ingestion, Dynamic Tables, dbt, performance and cost optimization.
• Prepare training materials, SQL exercises, live demos and Q&A with real-world enterprise practices.
• Conduct hands-on workshops and live demonstrations for Data Engineers, SQL Developers and BI professionals.

Skills

Snowflake expertise

T-SQL knowledge

Power BI integration

Performance tuning

Azure data services

dbt on Snowflake

Security and governance

Live demonstrations

Tools

Snowsight

VS Code

dbt

Azure Blob Storage

Power BI

Job description

As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate!

Currently, for the new Seargin project we are looking for a Snowflake Technical Trainer.

Employment Type

b2b contract

About the role

We are looking for a senior, hands-on Snowflake expert capable of preparing and delivering practical technical training for Data Engineers, SQL Developers and BI professionals, particularly those transitioning from Microsoft SQL Server. The trainer will be responsible for training materials, SQL exercises, live demos and Q&A, demonstrating real-world implementation experience and enterprise best practices.

Task:

• Deliver a comprehensive 2-day hands-on Snowflake training covering Snowflake SQL vs T-SQL, platform features, data ingestion, Dynamic Tables, dbt, performance and cost optimization, Power BI integration and Snowflake AI capabilities.

Requirements:

• 5+ years of experience in Data Engineering / Data Warehousing, including strong hands-on Snowflake expertise.
• Advanced knowledge of Snowflake SQL and Microsoft SQL Server (T-SQL), including differences, migration considerations and best practices.
• Strong understanding of Snowflake architecture, Snowsight, VS Code integration, database objects, metadata and SQL development.
• Practical experience with Snowflake Dynamic Tables, ELT pipelines, incremental/full refresh, TARGET_LAG and raw → curated → serving architecture.
• Experience with data ingestion and Azure integration (Azure Blob Storage, ADF, stages, COPY INTO).
• Working knowledge of dbt on Snowflake, including models, tests, lineage and orchestration.
• Strong expertise in performance tuning and cost optimization (Query Profile, caching, clustering, pruning, warehouse management, resource monitors).
• Knowledge of Snowflake security and governance (RBAC, masking, row access policies, tagging, Time Travel, cloning).
• Experience with Power BI and Snowflake integration, particularly DirectQuery performance optimization and reporting architecture.
• Familiarity with Snowflake Cortex AI, Cortex Analyst and CoCo, with the ability to demonstrate practical use cases.
• Proven experience delivering technical training, hands-on workshops and live/online demonstrations

Contact

[e-mail]

To learn more about Seargin, please visit our web page: www.seargin.com