Senior Data Engineer

at  Siteminder

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 40,000 hotels in 150 countries - with over 100 million reservations processed by SiteMinder’s technology every year.

ABOUT THE SENIOR DATA ENGINEER ROLE…

A key addition to our engineering team to assist us with our transformation program. This is for an all-rounder Data Engineer who can be dynamic and play a role in different aspects of working with data, from ingestion, setting pipelines to a ML engineer who can work with models such as selecting the right model, picking features and tuning parameters.
You will be someone who knows what good looks like and has set up robust production data pipelines using Databricks and associated products.

WHAT YOU’LL DO…

• Refine, design, estimate and deliver product requirements particularly data based features.
• Work with a cross-functional team in an agile methodology
• Collaborate with others to design, develop and maintain highly scalable data pipelines that power data driven products & customer facing insights.
• Working with cloud-based data storage and processing services to build scalable and cost-effective data solutions.
• Create and optimize ETL processes to move and transform data from various sources into our data systems, ensuring data consistency and integrity.
• Develop, construct, install, test and maintain data architectures (databases, large-scale processing systems, and data pipelines) that support data extraction, transformation, and loading (ETL) processes.
• Adhering to the standards and data governance practices of the organisation, e.g. ensuring data quality, privacy, security, auditability and control throughout the data lifecycle.
• Develop and maintain data models, schemas, and database designs to support business needs and reporting requirements.