Founding Data Engineer – Analytics Platform

This is a fully remote position, open to applicants in Europe.

📋 Description

• Develop the Data Platform

• Design, construct, and sustain scalable ELT/ETL pipelines that integrate product data, payment providers, and third-party APIs

• Architect and take ownership of the company's cloud data warehouse (Snowflake, BigQuery, or Redshift)

• Create dependable orchestration workflows utilizing Airflow, Prefect, or similar tools

• Enhance warehouse performance and cost-effectiveness through efficient data modeling and query optimization

• Ensure Data Quality and Governance

• Generate clean, testable transformation layers using dbt or equivalent frameworks

• Design a semantic layer that delivers consistent business metrics throughout the organization

• Execute data quality testing, monitoring, lineage, and documentation

• Incorporate security and governance into the platform, including access controls, PII management, and privacy-aware data practices

• Collaborate Across Engineering and Product

• Work in close partnership with Product and Growth teams to aid product analytics, experimentation, subscription metrics, and business reporting

• Team up with software engineers on event tracking, data contracts, and API integrations

• Advocate for DataOps best practices, which include CI/CD, version control, testing, and documentation-as-code

⛳️ Requirements

• Over 3 years of experience as a Data Engineer or in a comparable role

• Proficient SQL skills along with expertise in Python (Scala is an advantage)

• Practical experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift

• Familiarity with workflow orchestration tools like Airflow, Prefect, Dagster, or similar

• Strong grasp of data modeling and experience with dbt or similar transformation frameworks

• Experience in designing and maintaining production-grade data pipelines

• A strong sense of responsibility and commitment to building dependable, high-quality data systems

• Ability to articulate technical concepts clearly to cross-functional stakeholders

• Experience in implementing secure, privacy-conscious data practices

🏝️ Benefits

• Competitive compensation

• Fully remote work with flexible working hours

• 22 paid vacation days in addition to local public holidays

• A contemporary engineering environment utilizing modern technologies

• The chance to influence and shape a developing Data function from an early stage

• Engaging technical challenges with opportunities to impact architecture and engineering practices

• A collaborative, product-focused team where data plays a pivotal role in decision-making