Senior Data Engineer

Summary

Join a leading hospitality technology organisation using AI to help operators stay perfectly staffed as demand changes by the hour.
We’re hiring a
Senior Data Engineer
to take ownership of the data infrastructure and pipelines powering analytics, forecasting and production machine learning.
Location:Camden, London (office-first,4 days/week on-site
) |
Type:Permanent, full-time (40 hours)

• Be a core technical owner of the data platform, ensuring reliable, high-quality data from ingestion to production use cases
• Build and maintain robust ETL/ELT pipelines and the infrastructure behind them
• Partner closely with Data Science, Engineering and Product to improve performance, scalability and operational reliability
• Help shape best practices and mentor others through reviews, pairing and knowledge sharing

• Design, build and maintain data pipelines and workflows that keep data accurate, timely and trustworthy
• Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD
• Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, Sage Maker, Lambda)
• Write and optimise complex SQL for analytics, reporting, modelling and downstream BI use
• Build and maintain integrations with internal services and partner systems to enable clean, scalable access to data
• Diagnose and resolve production data issues, improving resilience and reducing operational toil
• Collaborate with stakeholders to translate business problems into practical, scalable data solutions

• Strong data engineering fundamentals: pipeline design, orchestration, testing and monitoring
• Production-quality
  Python
  and advanced
  SQL
  skills
• Experience running
  machine learning systems in production
  , including model serving and monitoring
• Comfort working across cloud infrastructure (ideally
  AWS
  ) and an understanding of platform/Dev Ops principles
• A pragmatic, ownership-driven approach: you’re happy to dive into problems, unblock others and keep systems running smoothly
• Ability to thrive in a fast-moving environment where you can have meaningful impact

• Experience with AWS services commonly used in modern data platforms (e.g., Redshift, Athena, Sage Maker, Lambda)
• Prior experience supporting analytics and ML teams with data modelling and reliable datasets
• Mentoring experience (formal or informal)

• Salary: up to £120,000
  (dependent on experience)
• Private medical insurance
• Office gym membership
• Equity/ownership shares
• Dog-friendly office
• Snacks and fruit in the office; dinner provided when working late
• Regular team breakfasts and lunches
• Work style:office-first,4 days/week in Camden, London