Data Engineer

About the Role

About Bridgify

We're a small team building the infrastructure behind the global travel experiences economy. We help global brands access, personalize, and monetize more than 1 million travel experiences through a single integration.

The Role

You'll own and scale our data ingestion platform: the ETL pipelines that pull attraction, pricing, and availability data from external suppliers, normalize it, and serve it to search and booking flows. This is a hands-on role with real ownership — you'll design connectors, harden pipelines, and shape how data flows through the entire platform.

• Build and maintain supplier integrations (REST APIs, feeds) in our Python ETL pipeline
• Design and operate Airflow DAGs for scheduled and event-driven ingestion
• Own the queue-based loading architecture (SQS → loaders → PostgreSQL/OpenSearch)
• Improve data quality: deduplication, entity matching, multilingual content normalization
• Optimize pipeline performance, observability, and failure recovery (structured logging, Sentry, correlation IDs)
• Collaborate with backend and frontend engineers on data contracts and API schemas

• 6+ years building production data pipelines in Python
• Strong SQL and hands-on PostgreSQL experience; comfort with search engines (OpenSearch/Elasticsearch) a plus
• Experience with workflow orchestration (Airflow or similar)
• Experience integrating third-party APIs at scale — auth, rate limits, pagination, retries
• Cloud experience (AWS and/or Azure); comfortable with containers and CI/CD (GitHub Actions)
• Pragmatic engineering mindset — you ship, measure, and iterate

• Django/DRF familiarity
• Experience with travel, e-commerce, or marketplace data
• Data modeling for multilingual/localized content

Bridgify is a small team of people building technology that reaches hundreds of millions of travelers.

We've recently been acquired, but we're still very much in build mode. There's a big earn-out ahead, a lot to prove, and a lot to build - with ZERO worry where the next round is coming from.

At a small team, there's nowhere to hide, but there's also very little standing in your way.

You get real ownership, work with very strong people, and can see the impact of what you do. On millions.