Senior Data Engineer (AWS, SQL, Python)
London, England, United Kingdom
Zoopla
Search for property with the UK's leading resource. Browse houses and flats for sale and to rent, and find estate agents in your area.Join Zoopla, and help us reimagine the property industry!
Our vision is to digitise the entire home owning and buying experience.
Over the past two years, we’ve doubled our team and began to create a new suite of products that are already delivering results for our estate agents.
Our salaries and bonuses are competitive, and our exceptional employee benefits are rated 4.4/5 on review sites.
What will you be doing as a Senior Data Engineer?
- Working on design and development of our data platform which has been developed as a greenfield site on AWS over the last year
- Looking for new data sources to add or improving existing ones
- Enabling other teams to use the data from it in their products
- Managing tech debt and keeping technologies up to date - e.g. moving to event-based data ingest
- Mentoring and supporting more junior members of the team (currently 6 engineers at all levels, 1 data QA and an apprentice)
- Supporting cross-Zoopla data engineering initiatives led by the Principal Data Engineer, for example creation of standards, maintenance of tech radar and knowledge sharing
Requirements
Essential Skills:
- A passionate engineer with previous commercial data engineering experience
- Comfortable working in a dynamic environment with a certain degree of uncertainty
- Comfortable working with SQL / NoSQL
- Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem
- A positive, collaborative mindset and a desire to deliver real business value to the customer
An ability to challenge us! We want people who can come in and shape the future of this business, not afraid to raise questions and help us improve.
Technical skills:
- Experience using Amazon Web Services (e.g. Glue, Redshift, Lambda, Step Functions) (essential)
- Python (essential)
- Terraform (desirable)
- Spark (desirable)
- Docker / ECS / Kubernetes (desirable)
- Experience running machine learning pipelines in production (desirable)
Benefits
- Everyday Flex - greater flexibility over where and when you work
- 25 days annual leave + extra days for years of service
- Day off for your birthday, house move, good deed day, and digital detox day
- Cycle to work and electric car schemes
- Free Calm App membership
- Enhanced Paternity Leave
- Fertility Treatment Financial Support
- Group Income Protection and private medical insurance
- Gym on-site in London – or membership in regional offices
- 7.5% pension contribution by the company
- Discretionary annual bonus up to 10% of base salary
- Talent referral bonus up to £5K
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Docker ECS Engineering Kubernetes Lambda Machine Learning NoSQL Pipelines Python Radar Redshift Spark SQL Terraform
Perks/benefits: Career development Competitive pay Fertility benefits Fitness / gym Health care Medical leave Salary bonus
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