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Role details
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Tech stack
Job description
Within Tesco Data & Analytics, we find ways to use data to help our customers and the communities where we operate. We build and run Tesco's data platforms, architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale.
As a backend engineer within Data Science, you have the vital role of integrating our capabilities into Tesco's systems, which is critical to creating value. You will bring your experience of implementing scalable backend systems to our teams while having the opportunity to work in the exciting ML and AI space.
Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with development of tools and platforms, code optimisations, and deployment of solutions on the edge, cloud and big-data environments.
You'll collaborate with engineers, data scientists, product managers, and analytics professionals to deliver innovative outcomes for our customers.
Responsibilities
- Design and implement backend services and APIs using Python and FastAPI.
- Participate in system architecture and design discussions, focusing on scalability and performance.
- Translate product and data science requirements into robust technical solutions.
- Collaborate across teams to integrate machine learning models into production systems.
- Write clean, maintainable, and well-tested code.
- Conduct code reviews and provide constructive feedback to peers.
- Monitor and support production systems, resolving incidents and performing root-cause analysis.
- Continuously improve development practices, tooling, and processes.
- Share knowledge and mentor others within the engineering community.
- Apply SDLC best practices to ensure reliable and maintainable software delivery., We're accredited Disability Confident Leader and are committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.
Requirements
- Strong proficiency in Python, focusing on backend development.
- Hands-on experience with FastAPI (or similar frameworks like Flask or Django).
- Experience designing and building RESTful APIs and microservices.
- Awareness of concepts related to MLOps integrating ML models into production.
- Understanding of software engineering principles, data structures, and algorithms.
- Experience with version control (Git) and CI / CD pipelines.
- Exposure to observability tools (e.g. New Relic, Grafana, Prometheus, Splunk).
- Experience working in cloud environments, ideally Azure.
- Comfortable working in Agile environments (Scrum, Kanban).
- Ability to collaborate effectively with cross-functional teams.
- Bonus : Experience with big data technologies (e.g. Apache Spark) and a background in retail, logistics, or ecommerce.
Benefits & conditions
- Annual bonus scheme of up to 20% of base salary.
- Holiday starting at 25 days plus a personal day (plus Bank holidays).
- Private medical insurance.
- 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 4 weeks fully paid paternity leave.
- Free 24 / 7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.