
Data Analysis Engineer
Primary stack
Nice to have's
Job description
About the Position
We are looking for a Data Analysis Engineer who will ensure the accuracy, consistency, and reliability of data.
Location: Poland
Responsibilities
- Ensure data accuracy, consistency, and reliability
- Work on data-centric or analytics projects
- Utilize dbt and Snowflake for data transformation and storage
- Write and validate SQL queries for large datasets
- Validate ETL/ELT workflows or dashboards
- Collaborate in a cooperative, Agile setting
Requirements
- 2+ years of experience in Python/PyTest (for test scripting)
- At least 1+ years working on data-centric or analytics projects
- Experience with dbt, Snowflake
- Proficiency in SQL for querying and validating large datasets
- Exposure to Python or similar languages for test automation is a plus
- Experience validating ETL/ELT workflows or dashboards
- Exceptional attention to detail with outstanding analytical and problem-solving capabilities
- Ease in a cooperative, Agile setting
- Experience with JIRA and Confluence
- Experience with Git/GitHub
- English level B2+
Nice to Have
- Experience with Power BI (read/test level), Azure Dev-Ops
- Airflow (read/debug level)
- Familiarity with test case management tools
We Offer
- Projects for clients such as PayPal, Wargaming, Xerox, Philips, Adidas, and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
- Corporate medical insurance covering services of private and public medical centers
- English courses online
- Corporate parties and events for employees and their children
- Internal conferences, workshops, and meetups for learning and experience sharing
- Gym membership compensation
- 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
About the Company
Join our team and contribute to impactful projects with leading companies. We value professional growth, flexibility, and a collaborative work environment.
Apply for
Data Analysis Engineer (Poland-based)
Apply by filling in the form beside or sending your CV to [email protected]
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