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.
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