Mid and Senior Data Engineer
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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.