Senior Data Engineer, Cazoo
ML Ops
£70-90k
3-5 days a week in office (Kings Cross)
Transforming the car buying and selling experience across the UK.
Job no longer available
Transforming the car buying and selling experience across the UK.
1001+ employees
Job no longer available
£70-90k
3-5 days a week in office (Kings Cross)
1001+ employees
Company mission
To make buying your next car no different to ordering any other product today.
Role
Who you are
- 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:
- 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
- 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
- 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
- You have a background of developing solutions at a reasonable scale using Python, that result in well tested and robust applications
- 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
- You have a desire to do things the right way, while remaining flexible enough to be pragmatic when necessary
- You maintain a positive, can-do attitude and embrace challenges without hesitation
- Machine Learning
What the job involves
- 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
- 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
- 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
Application process
- The interview process will consist of three remote video calls or in-person meetings, each lasting 60 minutes:
- A discussion around a system you have recently worked on, diving into your experience and understanding of data engineering
- A live system design exercise, highlighting your MLOps expertise
- A values-led interview with a mixed panel, with an open discussion about the role and what you’re like at work
Salary benchmarks
Our take
Through the Cazoo platform customers are able to buy, finance or rent a used car online and have it delivered to their door within 48 hours. This is a big step change vs. other used car websites, where you often still have to travel 25+ miles to see and pick up your new car.
The UK used car market is worth over £50 billion per annum, so the potential for Cazoo is large. Cazoo argues the market will grow even more when it goes through digital transformation, which the company wants to drive.
While the market is large, there are a lot of established players, most notably Auto Trader. There are also new, well-financed startups like Heycar (backed by VW and Daimler), so the product will need to be a lot better to cut through the noise.
The CEO is a very experienced entrepreneur and used to taking on large incumbents, which should stand him in good stead. Alex introduced Zoopla to the market when Rightmove had a monopoly and managed to create a very successful company.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Oct 2020
$310m
SERIES D
Jun 2020
$33m
LATE VC
Total funding: $580m
Company benefits
- Support from our brilliant onboarding and training programmes
- We offer a competitive salary
- 25 days holiday + an extra for your birthday!
- Healthcare
- Pension
- Bike-to-work
- Season Ticket Loan
- Training and development opportunities
- All colleagues at Cazoo are eligible for participation in the company’s share issue scheme
- Wellbeing fund each year
- Private medical insurance
- Company life assurance
- Car discounts & discounted services at our sites
- Free yearly MOT tests for you / someone in your family
Company HQ
Somers Town, London, UK
Leadership
Alex Chesterman
(CEO)Serial entrepreneur. Founded Zoopla (sold to Silverlake for $3bn) and co-founded LOVEFiLM (sold to Amazon).
Share this job