Analytics Engineer
Listed on 2026-09-22
-
IT/Tech
Data Engineering, Data Analyst, AI Engineer (Applied/Software)
Analytics Engineer
Waterloo - Hybrid Working
Full Time
Permanent
Grade 4
At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
Currys is in the middle of one of the most ambitious AI and automation shifts in UK retail. We are rethinking how customers discover and buy technology, how stores operate, how supply chains move, and how colleagues do their best work.
We’re reshaping how the business trades, plans and serves.
The AI & Monetisation function is where the boldest bets get placed.
The squad you join is greenfield, built around a real business domain, and backed by senior sponsorship. You will own that domain end to end, set the roadmap with the stakeholders who run it, and ship products that move the numbers in the P&L.
These problems are genuinely hard: optimising stock availability, automating complex operating processes, putting useful AI into the hands of frontline colleagues, and monetising the audience and data we already have. You will be a change agent in a business moving fast and willing to back people who can move with it.
What You’ll be Doing:Job description:
Role overview:Analytics Engineer
Waterloo - Hybrid Working
Full Time
Permanent
Grade 4
At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
Currys is in the middle of one of the most ambitious AI and automation shifts in UK retail. We are rethinking how customers discover and buy technology, how stores operate, how supply chains move, and how colleagues do their best work.
We’re reshaping how the business trades, plans and serves.
The AI & Monetisation function is where the boldest bets get placed.
The squad you join is greenfield, built around a real business domain, and backed by senior sponsorship. You will own that domain end to end, set the roadmap with the stakeholders who run it, and ship products that move the numbers in the P&L.
These problems are genuinely hard: optimising stock availability, automating complex operating processes, putting useful AI into the hands of frontline colleagues, and monetising the audience and data we already have. You will be a change agent in a business moving fast and willing to back people who can move with it.
What You’ll be Doing:- Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence
- Implement data quality tests and monitoring to ensure accuracy and reliability
- Optimise query performance using effective data modelling and materialisation strategies
- Establish and maintain documentation and data dictionaries for analytical models, KPI definitions and metrics frameworks
- Support self-service analytics by building reusable, high-quality data models
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Collaborate with data engineers to define requirements for new data sources and pipelines
- Conduct exploratory data analysis to identify trends, patterns, and anomalies in business performance
- Build interactive dashboards and reports that empower self-service analytics
- Design visualisations that clearly communicate complex data stories to both technical and non-technical audiences
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