Data Analysis Engineer

Quick Facts

• Role: Data Analysis Engineer

Description

We are looking for a Data Analysis Engineer who will ensure the accuracy, consistency, and reliability of data. The role focuses on SQL-based querying and validation, working with dbt and Snowflake, and validating ETL/ELT workflows or dashboards, with Python/PyTest supporting testing efforts.

Responsibilities

• Ensure data accuracy, consistency, and reliability
• Query and validate large datasets using SQL
• Validate ETL/ELT workflows and dashboards
• Support test scripting and test automation (Python/PyTest)
• Collaborate effectively in an Agile environment

Requirements

• 2+ years of experience in Python and PyTest (for test scripting)
• 1+ years working on data-centric or analytics projects
• Experience with dbt and Snowflake
• Proficiency in SQL for querying and validating large datasets
• Experience validating ETL/ELT workflows or dashboards
• Exceptional attention to detail and strong analytical/problem-solving skills
• Ability to work in a cooperative, Agile setting
• Experience with JIRA and Confluence
• Experience with Git/GitHub
• English level B2+

Benefits

• Competitive compensation based on qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours
• Options to work remotely
• Projects for clients such as PayPal, Wargaming, Xerox, Philips, Adidas, and Toyota