We are looking for a Data Engineer to help us transform fragmented data sources into robust, scalable pipelines and analytical assets that support self-serve reporting and advanced analysis across our product and go-to-market teams.
Requirements
- 4+ years of experience in Data Engineering roles, ideally within B2B SaaS or fast-paced tech environments
- Strong proficiency in SQL and Python
- Practical experience working with orchestration tools (Airflow) and ELT tools (dbt)
- Solid understanding of data warehousing principles and data modeling best practices in Snowflake
- Comfort handling complex, high-granularity datasets and optimizing for performance
- Experience integrating SaaS tools like HubSpot or Chargebee
- Experience implementing monitoring, testing, and alerting for data workflows
- A clear, structured thinker who values high-quality, maintainable code
Benefits
- A focus on professional development
- Interesting and challenging projects
- Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide
- Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves
- Compensation for private medical insurance
- Co-working and gym/sports reimbursement
- Budget for education
- The opportunity to receive a reward for the most innovative idea that the company can patent