Data Engineer

About this role

At SiteMinder we believe the individual contributions of our employees are what drive our success. That’s why we hire and encourage diverse teams that include and respect a variety of voices, identities, backgrounds, experiences and perspectives. Our diverse and inclusive culture enables our employees to bring their unique selves to work and be proud of doing so. It’s in our differences that we will keep revolutionising the way for our customers.

We are better together! What We Do… We’re people who love technology but know that hoteliers just want things to be simple. So since 2006 we’ve been constantly innovating our world-leading hotel commerce platform to help accommodation owners find and book more guests online - quickly and simply. We’ve helped everyone from boutique hotels to big chains, enabling travellers to book igloos, cabins, castles, holiday parks, campsites, pubs, resorts, Airbnbs, and everything in between.

And today, we’re the world’s leading open hotel commerce platform, supporting 56,000 hotels in 150+ countries - with over 140 million reservations processed by SiteMinder’s technology every year. About the Data Engineer role... The Data & Business Systems team at SiteMinder serves as the central data hub supporting all reporting and insights initiatives across the company. We are looking for an experienced Data Engineer proficient in DBT, Databricks, SQL, and Python to join our team.

In this role, you will be a key member of the core data engineering group, driving data engineering and reporting needs that power our business intelligence and reporting capabilities. You will work extensively on Databricks and AWS environments to design, build, and maintain robust data pipelines and models. This is a highly hands-on position, with approximately 70% focus on data engineering projects and 30% on data operations.

What you will do... - Dedicate your time to developing, testing, and maintaining high-quality, scalable ETL/ELT data pipelines using Python, PySpark, and Databricks on AWS - You will lead the development of new data features and services across the full product lifecycle, from architectural design to deployment including technologies like Terraform, spark structured streaming, dlt, etc. - Create CI/CD controlled data engineering deployments using Databricks Asset Bundles and leverage Databricks serverless compute with cost optimization techniques to deliver performant data products - Work within a fast-paced agile team, collaborating closely with Product Managers, Data Scientists, and fellow engineers to solve complex data challenges.