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)

The Role

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

What You’ll Do

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

What We’re Looking For

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

Nice to Have

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

Package

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

Process / How to Apply 
Apply via this advert with your CV. Suitable candidates will be contacted to discuss the role, experience, and office-based working pattern, followed by a structured interview process.

Senior Data Engineer

Cameron joins our UK Perm team in our London office. He has 3 years of recruitment experience, mainly working in the data space. 

Cameron Mason

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