Principal Data Engineer

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 44,500 hotels in 150 countries - with over 100 million reservations processed by SiteMinder’s technology every year.

About the Principal Data Engineer role...

SiteMinder is embarking on an ambitious transformation program, which involves the establishment of a data engineering function within the engineering team.  Our key aim is to bring machine-learning based insights and recommendations into our products.

What you'll do...

• Shape and drive the data engineering strategy to ensure scalable, real-time, and high-quality data pipelines.

• Collaborate with cross-functional teams and act as the technical lead for data platform-related matters.

• Work closely with the Engineering Team to explore and implement innovative solutions for core data challenges.

• Lead and guide a team of Data Engineers in designing and implementing data pipelines.

• Own and manage data platform assets, ensuring optimal performance and scalability.

• Support the company’s transformation program by enhancing data infrastructure and processes.

• Oversee the operation of the data warehouse platform and ensure its efficiency.

What you'll have...

• Extensive experience as a Data Engineer with Machine Learning exposure.

• Lead the development of ETL/ELT solutions, ensuring automation, scalability, and best practices.

• Hands-on experience building robust production data pipelines using the best industry practices, with experience of data preparation and resolution of data quality challenges and optimising multiple data transformation workflows.

• Champion best practices in unit testing, CI/CD, and data architecture.

• Cost oversight and optimisation strategies

• Extensive experience in data platforms, e.g. Databricks.

• Experience in Streaming (Spark, Kafka or similar)

• Cloud & CI/CD Experience – Familiarity with CI/CD pipelines, cloud data platforms, and scalable architectures.

• Problem-Solving & Leadership – Strong analytical mindset, with a passion for mentoring and guiding teams.

• Python and/or Scala, relevant Python ML libraries and SQL proficiency

• Testing and validation of Data Models and Data Pipelines.

• AWS experience across one or more of the following EC2, Kinesis, SQS, ElastiCache, Lambda and S3

• Experience with Infrastructure as code including Terraform or CloudFormation

• Deep knowledge on how to structure, develop and maintain relational databases such as MySQL and showcase your experience using data modeling techniques

• Ability to work independently and also contribute to overall architecture and design. 

• “Data wrangler” mindset: embraces complexity and ambiguity, overcomes challenges and obstacles in order to deliver a working solution.

• Decision-making: able to view a problem from multiple perspectives, select the best approach, and provide a concise rationale for the choice.

• Outcome-focused: able to balance the need for a robust, elegant technical solution with the need for a market-ready solution.

• Experience building, administering and scaling ML processing pipelines preferably in Databricks.

Our Perks & Benefits…

- Competitive salary based on your experience

- Equity packages for you to be a part of the SiteMinder journey 

- Flexibility to work fully remote or in a hybrid model (in-office & from home)

- Mental health and well-being initiatives

- Generous parental (including secondary) leave policy

- Paid birthday, study and volunteering leave every year

- Sponsored social clubs, team events, and celebrations

- Employee Resource Groups (ERG) to help you connect and get involved 

- Investment in your personal growth offering training for your advancement

Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch.

When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.