Senior Data Engineer
London - Hybrid, London, City of, United Kingdom (Hybrid)
Rightmove
UK's number one property website for properties for sale and to rentRole Title: Senior Data Engineer
Location: London (hybrid - 2 days in the office per week)
Reporting to: Data Engineering Manager
The
role
Millions of people visit the Rightmove website every month, to view more property listings than any other portal in the UK.
We
have a huge amount of data about how people use the site, and what this means to our customers.
Your role is to design,
deliver and evolve the data pipelines and infrastructure to enable data scientists and analysts from across Rightmove to get the insights they need
to
drive
our
business strategy,
and
to
use
that
data
to
power our
user
and
customer
experiences
directly.
Rightmove has a significant existing data infrastructure, across Google Cloud, on-premises and in SaaS environments.
Data has
powered the user and customer experience throughout our history, but we know we can do more with our data. We are looking
for
people
who
can
use their
experience to
help
us take a
big step
forward in
our
data
vision.
This role is a key part of a data team and
will often be the lead in projects, particularly for more complex work. We recognise that to deliver the best products and features for our consumers, customers, and colleagues
we
need
to
work
effectively
as a
healthy,
high
performing
team.
We
work
collaboratively
across a
mix
of
product
and
centralised
teams,
together
working
towards
Rightmove’s
strategy.
Key
responsibilities:
- You will work on our complex data challenges, bringing short term wins and longer-term value from our data
- You will help design and develop data pipelines, sourcing data from internal databases, and SaaS applications
- You will help evolve the data platform, be involved in architectural decisions and driving the implementation of the technical component of the data strategy
- You will build, refine, and evolve other components of the data platform, such as data lakes and data warehouses
- You will help data analysts and analytics engineers set up materialised views, optimise large queries, and automate manual tasks to create an automated process to get data into reports and dashboards.
- You will optimise data storage, query performance and cost in BigQuery and other on-demand services
- You will practice and promote excellent data and software engineering best practices
- You will coach other engineers to support their development and encourage high quality work
We
are
looking
for
someone
who:
- Combines an analytical and business-oriented mindset to create intelligent data solutions that generate powerful insights, as well as great user and customer experiences
- Has experience working in (or closely with) a data analytics or science team
- Demonstrates a deep understanding of databases, analytical data warehouses and data pipeline tools
- Extensive exposure to Google Cloud Platform or similar modern cloud platforms
- Is a competent Python developer who always strives to adopt engineering best practices
- Has built, designed, and maintained large datasets in the cloud and capable of identifying relationships in data
- Knows what good data infrastructure looks like; can work with architects to set a vision for the data platform
- Has deployed data applications and solutions using CI/CD pipelines and Infrastructure as Code (IaC) tools
- Is comfortable working in a dynamic environment with a degree of ambiguity
- Can coach engineers, analysts and data scientists so they can learn from your experience
- Have a STEM subject degree
Still not sure
We want to be part of creating a more diverse, equitable, and inclusive workplace for all. We’re excited to hear about your experience as well as how you will contribute to our overall culture. So, even if you feel like you don’t meet all the requirements, we would still really like to hear from you!
About us
Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.
We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.
Despite this growth, we’ve remained a friendly, supportive place to work with employee #1 still working here! We’ve done this by placing the Rightmove How’s at the heart of everything we do. These are the essential values that reflect our culture and include:
- Be approachable and appreciate what others do
- Make complex things as simple as possible
- Build great teams, because Rightmove is people
- Drive improvement, we can always be better
- Share early, honestly, and often
We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!
If all of this has caught your eye, you may well be a Rightmover in the making!
_______
As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation.
At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success., We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery CI/CD CX Data Analytics Data pipelines Data strategy Engineering GCP Google Cloud Pipelines Python STEM
Perks/benefits: Home office stipend Team events
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