Hi! We're UW.
We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you.
The challenge
For our customers and Partners, UW just needs to work – there when you need it, and invisible when you don’t. Just like flicking a switch.
Our proposition to customers is simple, but for our technology teams, the behind-the-scenes complexity is what makes it so interesting. Learn more about life in our Tech teams here.
Got your attention? Read on..
We are seeking a Data Architect to lead a greenfield initiative: building the backbone of our new Enterprise Data Warehouse and migrating our data estate to a dimensional modelling environment.
We put people first. It’s all about you..
You are a builder and architect who is as comfortable writing code and prototyping as you are mapping target architecture. You see how data connects across customer journeys, billing, smart metering, and Partner commissions. You stay pragmatic about delivery, hold clear technical standards, and communicate trade-offs simply and effectively across teams.
Here is the technical experience and toolkit you will bring to the table:
Enterprise platform expertise: Experienced across data engineering, data platforms, or data architecture, and will have acted as a lead data or solution architect designing end-to-end modern data platforms or lakehouses.
Modern lakehouse mindset: Deep understanding of open lakehouse design and open table formats (such as Apache Iceberg or Delta Lake), keeping data open and portable.
Practical, multi-paradigm data modelling: Deep, hands-on experience designing data models across Data Vault 2.0, dimensional modelling, entity-centric models, and domain-driven design, with the judgement to choose the right pattern for each job.
Hands-on coding skills: Strong hands-on coding and query capabilities in SQL and Python, building working proofs of concept and reviewing production code.
Cloud & streaming foundations: Proven experience with modern cloud data warehouses—ideally Google Cloud (BigQuery, BigLake, Dataplex, Dataproc, Vertex AI)—and designing for operational pipelines and change-data-capture (CDC) using streaming tech (such as Pub/Sub, Dataflow, or Kafka).