Data Engineering Manager -Data & Platforms
London, England, United Kingdom
Houseful
Hybrid - 2 days on site in London, Tower Bridge HQ
At Houseful, we’re here to help everyone make intelligent decisions about their home
Do the best work of your life!
Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime location. Together were creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight.
We make moves with head and heart to achieve our big ambitions, and to drive progress in the property market. There’s never been a better time to join us.
Zoopla is one of the most recognised and loved UK consumer property brands. Our mission is to connect everyone to their home and give them better choices around it, whether moving, managing or financing. Over 60 million people visit Zoopla every month to access comprehensive data and information on every UK property, search over 500,000 homes for sale and rent, find the best agents and secure the latest mortgage deals. Zoopla is part of Houseful, the leader in residential property software, data and insight, and is sister brand to Hometrack, Alto and Mojo among others.
At Zoopla we know what a home is really worth, but more importantly we know how it should make you feel. Since 2008 we’ve been helping to make a house a home, and supporting you every step of the way. Our market-leading data means we’ve always got our finger on the pulse, and you’ll want to be a part of it! We want to help everyone make intelligent home buying decisions. We are building a team that will have the once in a career opportunity to re-imagine an industry.
A little about us:
- We're serious about tech but we don't take ourselves too seriously.
- We are spiritually agile, not religiously agile.
- We strongly believe in the value of good design. We believe it is a primary differentiator in an increasingly crowded marketplace.
- We believe in the value of data. We run a team that is data-informed. We think being data-driven is soulless and dangerous. Clean, confident, clear data combined with the insights of the team is what drives our decisions.
- We want to build small, collaborative, cross-functional teams that push each other to create elegant, simple solutions to difficult customer problems.
- No matter what the role we want everyone to be obsessed with getting inside the minds of our customers.
You’re a fit for our team if…
- You strive to set the standard and are always looking to raise the bar and want to be surrounded by others who do so as well
- You’re obsessed with knowing your customer
- You want to build things together, collaboratively with your team
- You want to own it; To have ownership and accountability for the outcomes of your effort
- You have strong, well-informed opinions but are open to being convinced otherwise through thoughtful discussion and debates with your teammates
- You have a bias towards action
- And if you want to come help us re-imagine an industry
What will you be doing?
- Line management of the Data Engineering team
- Currently 1x senior, 3x mid-2, 1x mid-1 engineer, 1x mid-1 data QA, 1x associate, 1x apprentice
- Responsible for their career development and performance management
- Leading 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
- Managing the costs of 3 AWS accounts
- Working with delivery manager to plan and communicate on delivery of work
- Supporting cross-Zoopla data engineering initiatives led by the Principal Data Engineer, for example creation of standards, maintenance of tech radar and knowledge sharing
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 volunteering & Digital detox day
- Festive Closure - business closed for period between Christmas and New Year
- Cycle to work and electric car schemes
- Free Calm App membership
- Enhanced Parental leave
- Fertility Treatment Financial Support
- Group Income Protection and private medical insurance
- Gym on-site in London
- 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: Agile AWS Data QA Docker ECS Engineering Kubernetes Lambda Machine Learning NoSQL Pipelines Python Radar Redshift Spark SQL Step Functions Terraform
Perks/benefits: Career development Fertility benefits Fitness / gym Health care Medical leave Parental leave Salary bonus
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