Description
We’re a newly formed data & analytics team of three. Together, we’ve successfully built the foundation of our modern data platform using Airflow, Snowflake, and Looker. We're actively cleaning, aligning, and integrating multiple data sources — including marketing, finance, and product usage data — into a centralized and governed system.
We’re looking for a Senior Data Analytics 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.
As our Data Analytics Engineer you will be responsible for:
- Partner with Analysts, Marketing, Product, and Finance teams to define and implement data models that make insights easily accessible.
- Transform raw data into clean, governed, analytics-ready models using dbt.
- Ensure data consistency and integrity across systems.
- Collaborate on designing self-serve Looker experiences while optimizing performance and reducing manual reporting overhead.
- Debug data issues across multiple source systems and orchestrate efficient resolutions.
Our Current Stack:
- Data Sources: PostgreSQL, ClickHouse, HubSpot, Chargebee, QuickBooks, Zendesk, PostHog
- ETL/ELT: Airflow, dbt, Python, custom connectors
- Data Warehouse: Snowflake
- Orchestration: Airflow
- BI & Governance: Looker, OpenMetadata
- Version Control: GitLab
Requirements
To be successful in this role you should have:
- 4+ years of experience in analytics/data engineering roles, ideally in a B2B SaaS or enterprise context
- Deep knowledge of SQL, data normalization, and transformation best practices
- Familiarity with data governance, Looker modeling (LookML)
- A strong commitment to data quality and accuracy
- Hands-on experience with Airflow, dbt, Snowflake
- A proactive, problem-solving mindset with attention to data accuracy and maintainability
- Excellent communication skills
Benefits
What's in it for you?
- 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
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