Data Engineer

About Us

We are TravelPerk: a scaling unicorn valued at $1.4 billion that has raised over $400m since our creation in 2015. Backed by world-class investors with portfolios including AirBnB, Stripe, Slack, Trello, Gusto, Twitter, Farfetch and Deliveroo, our team comprises A-players from the travel and technology industries.

We’ve been named the fastest-growing SaaS startup in the world by SaaS1000 and featured as one of the hottest startups to watch by both Forbes and Wired. We’re revolutionizing the B2B corporate travel market—worth over $1.3 trillion— to connect people in real life in an enjoyable and sustainable way.

TravelPerk is innovative. We have welcomed and acquired the likes of Click Travel, NexTravel and Albatross to the team. From TravelCare, to FlexiPerk and GreenPerk, we are shaping the industry's future. Our team continues to emerge stronger and stronger as we adjust to the new normal—and that’s where you come in!

If you’re ready to take off with us, keep reading!

About the Role:

We are looking for a Data Engineer to scale our Data Operations team and help us improve our Data Governance & Data Integration processes. This Role’s mission will be:

• Ensure we are able to keep all data in our DWH updated and accessible for analysis
• Partner with the Data analysts to support the requirements of the company in terms of analytics, reliability and efficiency
• Develop and maintain data pipelines to extract data from different sources and integrate it in the DWH following data modeling best practices 

What you will do:

• Take charge of the required data processing while ensuring sustainable and organic growth of the data model and the infrastructure
• Keep our data infrastructure up to date and working like a clock
• Integrate and model datasets from different sources
• Support our Data Analysts & BI Developers to get the right data to build awesome dashboards and complex analytical models
• Support Product and Analytics teams in defining the best approaches for data modeling
• Use data to investigate and help resolve issues in our product or processes
• Proactively suggest improvements to data reliability, efficiency and quality
• Champion a healthy data culture throughout the organization

What you need:

• 3+ years of relevant experience as a Data Engineer, Business Intelligence, Big-Data Engineer or similar role working with large-scale data systems
• Excellent communication skills, both written and spoken, in English
• You are a Master in SQL, optimizing queries for performance, scalability, and ease of maintenance
• You feel comfortable querying different types of databases (PostgreSQL, Redshift, Snowflake) and have knowledge of different AWS services
• You’re an ace at data modeling, accustomed to designing and implementing complex architectures with a constant eye on their future evolution while taking into account the needs of multiple users
• You have experience building data pipelines using Python
• You have experience integrating data from multiple sources including DBs, product tracking, and APIs. You get excited by seeing your jobs run like clockwork
• You have an instinct for automation
• You have the desire to work in an international environment, with minimal direction, and with highly engaged individuals

Bonus points for…

• Experience with AWS Redshift or other distributed systems (Snowflake, Big Query, Hadoop, Vertica, Exasol, etc.). Basic DBA skills
• Experience in web analytics and web tracking and event-based analytics tools
• Experience with workflow managers (Airflow, Luigi, etc.)
• Experience with dbt.
• Experience in queue and streaming systems (SNS, Kaf