Data Engineer

Data Engineering owns Veriff's analytical data platforms: a Data Warehouse (AWS Redshift, dbt, Airflow, Cube) and a Data Lake (S3, Glue, Athena) running across EU and US regions. We serve analysts, data scientists, ML, and product teams. We are a small, senior team based mostly in Tallinn. Because Veriff handles identity data, our job is to make data easy to use while keeping it secure, compliant, and cost-efficient.

We are moving towards a governed lakehouse that teams can use self-service. You will join our Data Engineering team and work closely with senior engineers. Your initial focus will be governance across both platforms: access control, handling of personal data, data lifecycle and deletion, and platform cost. You will own projects end-to-end, with support and mentoring from the team.

• Learn how Veriff works and how data flows from our product into the Data Lake and Data Warehouse
• Get comfortable with our architecture and tooling, and ship your first changes to production
• Start your first project in data governance or cost optimization

• Deliver your first project end-to-end
• Help keep Data Warehouse costs flat or lower through query and compute tuning
• Become a go-to person for data governance across the Data Lake and Warehouse

• Experience building and running production data pipelines
• Strong SQL and Python
• Hands-on experience with a cloud data platform, ideally AWS (S3, Glue, Athena, Redshift)
• Experience working with sensitive or personal data, and a security-first mindset
• Ownership: You take a project from idea to production and communicate clearly along the way

• Redshift, Lake Formation, or lakehouse / open table formats (Iceberg, Delta, Hudi)
• dbt and Apache Airflow
• GDPR data deletion, data lifecycle, or metadata/catalog tools