Snowflake Data Engineer

Link Group; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Job summary

Link Group in Warsaw is seeking a Snowflake Data Engineer to design, develop and maintain Snowflake-based data solutions for a cloud-first data platform.

You will build scalable data pipelines, create data models and collaborate with data architects and business stakeholders to translate requirements into efficient technical solutions.

This role supports a two-phase project focusing on assessment of current Azure/Snowflake environments and then implementing the target platform.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• Strong SQL and Snowflake data modeling skills.
• Experience building scalable data pipelines and ETL processes.

Responsibilities

• Design, develop and maintain Snowflake-based data solutions.
• Collaborate with architects and analysts to transform requirements into data models.
• Build reliable pipelines and support cloud data capabilities for analytics.

Skills

Snowflake

SQL

Data modeling

ETL pipelines

Python

Education

Bachelor's degree in Computer Science

Tools

dbt

Azure

Git

Airflow

Job description

About the Project

The project focuses on the assessment and transformation of a modern cloud-based data platform.

The initiative is divided into two phases. The first phase involves evaluating the existing Azure and Snowflake environment, including architecture, cybersecurity, data protection, data models, and operational processes, followed by recommendations for improvements.

The second phase focuses on implementing the target solution and building a scalable, secure Snowflake data platform.

Your Role

As a Snowflake Data Engineer, you will be responsible for designing, developing, and maintaining Snowflake-based data solutions. You will build reliable data pipelines, create scalable data models, and support the delivery of cloud-based data capabilities that enable analytics and business decision-making.

You will collaborate closely with data architects, analysts, and business stakeholders to transform requirements into efficient technical solutions.