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 aSenior Data Engineerto 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)

The Role

• 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

What You'll Do

• 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, SageMaker, 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

What We're Looking For

• Strong data engineering fundamentals: pipeline design, orchestration, testing and monitoring
• Production-qualityPythonand advancedSQLskills
• Experience runningmachine learning systems in production, including model serving and monitoring
• Comfort working across cloud infrastructure (ideallyAWS) and an understanding of platform/DevOps 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

Nice to Have

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

Package

• 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