At a Glance
- Tasks: Own the data infrastructure and pipelines for analytics and machine learning.
- Company: Leading hospitality tech firm using AI to optimise staffing.
- Benefits: Up to £120,000 salary, private medical insurance, equity shares, and office perks.
- Other info: Join a dog-friendly office with regular team meals and excellent growth opportunities.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: Strong data engineering skills, Python, advanced SQL, and cloud experience.
The predicted salary is between 63000 - 77000 £ per year.
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
- 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-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/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.
Senior Data Engineer in Camden Town employer: Xcede Recruitment Solutions
As a Data Delivery Manager at our Reigate location, you will thrive in a dynamic and supportive work culture that prioritises collaboration and innovation. We offer a competitive salary, hybrid working options, and a comprehensive benefits package, including generous holiday and an annual bonus, ensuring that our employees are well taken care of while they grow their careers in the data field.
Contact Details:
Xcede Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Camden Town
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We think you need these skills to ace Senior Data Engineer in Camden Town
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