Data Engineer
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.Data is at the heart of the engines which power Zoopla’s experiences for Estate Agents, Landlords and consumers. We are searching for a Data Engineer to help build out our advanced analytics and real-time big data platform, to also expand on our data vision, and inspire best practice for data products and services across Zoopla.
Reporting to the Data Engineering Manager, these roles will be responsible for supporting the design and delivery of data-oriented technology solutions for Zoopla's property sites and smartphone apps (Zoopla.co.uk, Primelocation.co.uk, Smartnewhomes.co.uk) and Estate Agency Management Software portfolio (Alto, Jupix, ExpertAgent, Vebra Live, Winman).
These technology solutions will execute on our strategies for:
- Zoopla’s overall data landscape
- Our data models, taxonomies and reference data hierarchies
- Data governance and stewardship
- Future data monetisation opportunities
Requirements
Essential Skills:
- A passionate engineer with previous commercial data engineering experience
- Able to support and mentor other team members
- 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 (Glue, Redshift, Lambda, Step Functions) (essential)
- Terraform (essential)
- Python (essential)
- Spark (desirable)
- Docker / ECS (desirable)
- Experience running machine learning pipelines in production (desirable)
Benefits
- 25 days holiday + Bank Holidays
- Private health and dental
- Gym on site in London – or membership in regional offices
- Up to 7.5% pension contribution by the company
- Free breakfast and afternoon snacks
- Friday night drinks
- Discretionary annual bonus up to 10% of base salary
- Birthday day off, move house day off
- Training and development
- Referral bonus up to £5K
Check out a full list of our benefits and perks here
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Docker ECS Engineering Lambda Machine Learning NoSQL Pipelines Python Redshift Spark SQL Terraform
Perks/benefits: Career development Fitness / gym Health care Salary bonus
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