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La Fosse

Mid and Senior Data Engineer

CompanyLa Fosse
LocationGreater London, England, United Kingdom
Posted At3/6/2026

UK Visa Sponsorship Analytics

Occupation Type
IT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900 (£28.15 per hour)
Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with La Fosse. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Mid and Senior Data Engineers

London (4 days in office)

£60,000 – £85,000 per year


La Fosse have partnered with a business that want to completely disrupt the hospitality industry! We are seeking Mid and Senior Data Engineers to become a key technical backbone of our clients data platform. This is a hands-on role where you will design, build, and maintain the infrastructure and pipelines that power our analytics and machine learning systems.


About You

  • You have a technical background (Computer Science, Engineering, Mathematics, or related field).
  • Strong data engineering fundamentals, including pipeline design, orchestration, testing, and monitoring.
  • Confident writing production-quality Python and complex SQL across modern data platforms.
  • Experience deploying and running ML systems in production, including model serving and monitoring.
  • Comfortable working across cloud infrastructure (ideally AWS) and familiar with platform and DevOps principles.
  • Enjoy working in fast-moving environments where your work has real impact.


What You’ll Do

  • Take ownership of data infrastructure and pipelines, ensuring reliable flow from ingestion to production models and real-time decisioning.
  • Build, ship, and maintain robust ETL/ELT workflows that ensure high-quality, reliable data across the platform.
  • Deploy and support production ML systems, from forecasting models to LLM-driven workflows, with proper monitoring, versioning, and CI/CD.
  • Maintain and enhance our AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker, Lambda), driving operational best practices and reliability.
  • Write and optimise complex SQL to support analytics, reporting, and downstream BI tooling.
  • Build integrations with internal services and partner systems, ensuring clean and scalable data access.
  • Act as a go-to technical partner for production data issues, diagnosing problems and improving resilience.


Required Skills & Experience

  • Strong Python and SQL skills.
  • Solid experience in data engineering, ML system deployment, and cloud infrastructure (AWS preferred).
  • Experience with data orchestration, testing, and monitoring.
  • Knowledge of CI/CD processes and best practices.
  • Ability to troubleshoot production issues and implement scalable solutions.
  • Excellent communication and collaboration skills.