Senior BI Data Engineer
Responsibilities:
- Own the BI & Data Warehouse Strategy: Define and execute the architecture roadmap aligned with business objectives and technical scalability.
- Cross-functional Collaboration: Work closely with Product, R&D, Marketing, Sales, Customer Success, Finance, and external stakeholders to translate business needs into data solutions.
- Business Analysis & Insight Generation: Collect and analyze business requirements, delivering actionable insights to support strategic initiatives.
- Data Modeling & Pipeline Development: Hands-on design and implementation of dimensional data models and ETL/ELT pipelines using tools like dbt, Airbyte and Airflow.
- Dashboard & Reporting Ownership: Develop and maintain dashboards, reports, and alerts using Tableau (preferred), and optionally other tools (Looker, Power BI, Qlik Sense).
- Performance Monitoring: Deliver reports and visualizations that track key product and company performance metrics.
Requirements:
- 4+ years of experience in business intelligence, data engineering, or analytics.
- Strong communication and interpersonal skills; able to translate complex data into clear business insights for both technical and non-technical audiences.
- Deep understanding of data warehousing concepts, dimensional modeling, and ETL design.
- Expert-level SQL proficiency and hands-on experience with modern cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
- Proficiency in Airbyte, Airflow, dbt, Snowflake, and Tableau – strong advantage.
- Experience with Python for data workflows or automation – advantage.
- BSc in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.
- 2+ years in a leadership or managerial position, with proven ability to manage cross-functional initiatives – advantage.
- Experience in startup environments – advantage.
- Fluent in English, both written and spoken.
- Strong analytical thinking and problem-solving capabilities.