Data Analytics Engineer

Cookie Information and Piwik PRO are leading SaaS companies specializing in privacy-first compliance and analytics. Together, they build intuitive, user-friendly products that help organizations navigate data privacy and marketing insights. The Data team is small and newly formed, consisting of one other Data Analytics Engineer and one Data Analyst.

• Minimum of 2 years hands-on experience in Data Analytics Engineer or related analytics role, ideally within SaaS or ecommerce environments.
• Solid background in modern data warehouse platforms, such as BigQuery, Redshift, Snowflake or similar.
• Practical experience building and maintaining data transformation pipelines using dbt or similar tools.
• Ability to develop and maintain Python-based pipelines (e.g., dlt).
• Proven ability to translate complex data insights into clear business actions.
• Strong command of English (B2+).

Nice to have:

• Experience with visual analytics tools like Power BI and Looker Studio.
• Experience with AI-assisted data analysis or business intelligence.

• Develop and manage datasets in a modern data warehouse environment (using BigQuery).
• Design, build, and maintain robust data pipelines using dbt.
• Write, optimize, and maintain complex SQL queries.
• Take ownership of data quality and data integrity, monitor data reliability, and drive improvements at the source.
• Collaborate with engineers and other stakeholders to ensure data accuracy, accessibility, and relevance.
• Analyze and interpret complex datasets to support strategic business initiatives.
• Build interactive and insightful data visualizations and dashboards using Looker Studio.
• Document analytical processes and methodologies for reproducibility and clarity.

By applying, candidates consent to the processing of their personal data for recruitment by Piwik PRO SA. Providing mandatory data is required under the Polish Labour Code. Consent may be withdrawn anytime. The recruitment process includes screening call, assessment, and in-depth interview conducted online. The company values diversity and inclusion and does not discriminate based on race, religion, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability.