Build the Data Platform
Design, build, and maintain scalable ELT/ETL pipelines integrating product data, payment providers, and third-party APIs
Architect and own the company's cloud data warehouse (Snowflake, BigQuery, or Redshift)
Build reliable orchestration workflows using Airflow, Prefect, or similar tools
Optimize warehouse performance and cost through efficient data modeling and query optimization
Ensure Data Quality & Governance
Develop clean, testable transformation layers using dbt or equivalent frameworks
Design a semantic layer that provides consistent business metrics across the organization
Implement data quality testing, monitoring, lineage, and documentation
Build security and governance into the platform, including access controls, PII handling, and privacy-aware data practices
Partner Across Engineering & Product
Work closely with Product and Growth teams to support product analytics, experimentation, subscription metrics, and business reporting
Collaborate with software engineers on event tracking, data contracts, and API integrations
Promote DataOps best practices, including CI/CD, version control, testing, and documentation-as-code

3+ years of experience as a Data Engineer or in a similar role
Strong SQL skills and proficiency in Python (Scala is a plus)
Hands-on experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift
Experience with workflow orchestration tools including Airflow, Prefect, Dagster, or similar
Strong understanding of data modeling and experience with dbt or comparable transformation frameworks
Experience designing and maintaining production-grade data pipelines
A strong sense of ownership and a commitment to building reliable, high-quality data systems
Ability to communicate technical concepts clearly to cross-functional stakeholders
Experience implementing secure, privacy-conscious data practices

Competitive compensation
Fully remote work with flexible working hours
22 paid vacation days plus local public holidays
A modern engineering environment with contemporary technologies
The opportunity to help shape a growing Data function from an early stage
Meaningful technical challenges with room to influence architecture and engineering practices
A collaborative, product-focused team where data plays a central role in decision-making

Founding Data Engineer – Analytics Platform

Key skills