Senior Data Engineer

Xcede Recruitment Solutions; Camden Town; On-site; GBP 108,000 - 132,000; Full time

Benefits offered by this job

Private medical insurance

Office gym membership

Equity/ownership shares

Dog-friendly office

Snacks and fruit in the office

Job summary

Xcede Recruitment Solutions is seeking a Senior Data Engineer to own the data infrastructure powering analytics, forecasting and production ML. The role is based in Camden, London, with an office-first approach and 4 days per week on-site.

The position is permanent and full-time (40 hours). You will design and maintain data pipelines, work with Data Science and Product teams, and deploy ML systems in production on an AWS-native stack.

Qualifications

• Strong data engineering fundamentals including pipeline design, orchestration and testing.
• Production-grade Python and SQL skills are essential.
• Experience running ML systems in production and model serving.
• Cloud experience, preferably AWS, and basic DevOps practices.
• Ownership-driven mindset and ability to operate in fast-moving environments.

Responsibilities

• Design, build and maintain data pipelines and workflows.
• Deploy and support production ML systems with monitoring and CI/CD.
• Maintain and improve an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker, Lambda).
• Write and optimize complex SQL for analytics and BI.
• Build integrations with internal services and partner systems.
• Diagnose production data issues and improve resilience.
• Collaborate with stakeholders to translate business needs into scalable data solutions.

Skills

Data engineering fundamentals

Python

SQL

Production ML systems

AWS

DevOps principles

Tools

S3

Redshift

RDS

Athena

SageMaker

Lambda

Job description

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