Job VC
Data Engineer
Hi!
Our client is an international product company that helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.
Responsibilities:
Design, build, and maintain scalable data pipelines and ETL/ELT processes on AWS
Develop and optimize distributed data processing jobs using Spark/PySpark
Ensure data quality, reliability, and performance in high-load environments
Collaborate with product, analytics, and engineering teams to deliver data-driven solutions
Monitor, troubleshoot, and improve existing data workflows
Proactively identify bottlenecks and propose architectural improvements
Requirements:
5+ years of commercial experience in Data Engineering
3+ years of hands-on experience with AWS
2+ years of experience with Spark/PySpark
Experience working in high-load environments
Autonomous and proactive mindset - ability to own tasks and drive them independently
We offer:
Work on a product used by the world's leading hotel brands
An international team and the opportunity to influence architectural decisions
Flexible schedule and remote work
Competitive compensation based on experience
Interested?
Send us your CV - we'd love to talk!