<div class="page"> <div class="section"> <div class="layoutArea"> <div class="column"> <p><strong>CAZOO</strong></p> <p>Our mission is to transform the car buying experience across the UK and Europe by providing better selection, flexibility, transparency, convenience and peace of mind. Our aim is to make getting your next car no different to ordering any other product online today, where consumers can simply and seamlessly purchase, finance or subscribe to a car entirely online for delivery or collection in as little as 72 hours.</p> <p>Cazoo was founded in 2018 by serial entrepreneur Alex Chesterman OBE, has a highly experienced management team and is backed by some of the leading global technology investors.</p> <p></p> <p><strong>Job Summary:</strong></p> <p>We are seeking an enthusiastic, driven and intelligent senior data engineer who specialises in MLOps to join the Cazoo team in our London office.</p> <p>We are a data-driven tech organisation that embraces event-driven and serverless solutions, as well as value-adding data products and cross-provider data lakes and data warehouses. We strive to make the most of that data by helping to generate insights from key data. The data engineering team is vital to achieving this mission, and you will play a key role in guiding us to stay true to this mission.</p> <p></p> <p><strong>What you'll be doing:</strong></p> <p>As a senior data engineer, you will lead and contribute to the development of our machine learning data platform. Your focus will be on implementing, optimising and improving our ML ops framework. You will support our data science community with how they deploy, update and maintain models at scale.</p> </div> </div> </div> </div> <div class="page"> <div class="section"> <div class="layoutArea"> <div class="column"> <p>Working closely with data analysts, data scientists, and fellow data engineers, you will understand the internal team and business needs and implement optimal data-driven solutions that deliver business value both short and long-term. You will focus on shaping and implementing with automation in mind, delivering scalable solutions that perform and deliver business value both short and long term, delivering solutions that perform even with large data sets and in real-time.</p> <p>We expect you to actively be a driver within a close knit, collaborative data team that helps each other out when needed. We encourage you to introduce new ideas and approaches to the problems we need to solve, with a constant drive to improve efficiency and deliver high quality data solutions to our internal stakeholders.</p> <p></p> <p><strong>Key Skills:</strong></p> <p>We are looking for data engineers to join the team who are enthusiastic, have an appetite for learning and self-development, and can be an effective team player who can contribute to delivering our data strategy:</p> <p>● You have a wealth of experience within engineering and are comfortable guiding a project and other engineers to delivery, including designing solutions that deliver the features that bring the most value to the organisation.</p> <p>● You have specific experience with deploying and maintaining ML Ops frameworks (across GCP or AWS). You are familiar with supporting Data Scientists, agreeing on requirements and ensuring the correct implementation is developed.</p> <p>● You come from a software engineering background and have experience in modern software development practices such as version control (e.g. Github), CI/CD development, infrastructure as code (preferably Terraform) and embrace a TDD approach where applicable.</p> <p>● You have a background of developing solutions at a reasonable scale using Python, that result in well tested and robust applications.</p> <p>● You are a cloud practitioner within Amazon Web Services (AWS) or Google Cloud Platform (GCP). As part of your work you will interact with services such as Lambda, EC2, ECS, DynamoDB, Fargate, or Step Functions.</p> <p>● You have a desire to do things the right way, while remaining flexible enough to be pragmatic when necessary.</p> <p>● You maintain a positive, can-do attitude and embrace challenges without hesitation.</p> <p></p> </div> </div> </div> </div> <div class="page"> <div class="section"> <div class="layoutArea"> <div class="column"> <p><strong>EQUAL OPPORTUNITIES</strong></p> </div> </div> <div class="layoutArea"> <div class="column"> <p>We are an equal opportunity employer and we value diversity and inclusivity. We do not discriminate on the basis of gender, race, age, sexual orientation, colour, religion, national origin, disability status or marital status.</p> <p></p> <p><strong>INTERVIEW PROCESS</strong></p> <p>We understand that your time is valuable, so we keep our interview process as quick and painless as possible. We will outline all timeframes in advance so that you can plan accordingly. The interview process will consist of three remote video calls or in-person meetings, each lasting 60 minutes:</p> <p>● A discussion around a system you have recently worked on, diving into your experience and understanding of data engineering.</p> <p>● A live system design exercise, highlighting your MLOps expertise.</p> <p>● A values-led interview with a mixed panel, with an open discussion about the role</p> <p>and what you’re like at work.</p> </div> </div> </div> </div>