About this role

Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines in dbt and BigQuery, integrating data from a variety of sources (MongoDB, SQL, Google Sheets, Google Analytics, APIs, etc.);
Build and maintain dashboards and visualizations in Looker Studio and other BI tools;
Ensure data quality, consistency, and accessibility across the organization, implement data quality controls;
Proactively collaborate with different stakeholders across operations, sales, finance and tech to clarify requirements and answer data-related questions.

5 years of experience in data engineering, analytics engineering, or data analytics roles in a fast-paced or startup environment
Strong communication skills and the ability to collaborate effectively with non-technical stakeholders to translate business needs into actionable data solutions
Strong proficiency in SQL and Excel, experience with BigQuery or similar cloud data warehouses. Familiarity with MongoDB is a plus
Experience with Python for data processing or automation (knowledge of other programming languages is a plus)
Solid understanding of data modeling and database design principles
Hands-on experience with data visualization and BI tools, especially Looker Studio
Proficient git user
BS in Mathematics, Economics, Computer Science, Information Management or Statistics
Fluent in written and spoken English.

Senior Data Engineer, Data Infrastructure – Business Insights

Key skills