Senior BI Analytics Engineer
London · London, United Kingdom
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Technology › Data Platform, Analytics & Science — team source
Department: Technology › Data Platform, Analytics & Science
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you have the right to work in this job location without sponsorship?
From the employer’s application form
What you’ll work on
Full postingDesign, build and maintain scalable data models in dbt on BigQuery
Translate business requirements into data models, metrics and visualisations
Implement data quality checks, testing and documentation within dbt
Optimise BigQuery query performance and cost
From the employer’s posting
Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery)
Translate business requirements into clear data models, metrics, and visualisations
Implement data quality checks, testing, and documentation within dbt
Optimise query performance and manage cost efficiency in BigQuery
What you’ll bring
All qualificationsCore experience
- Experience working with modern cloud data platforms and distributed data warehouses (e.g.
- Hands-on experience with Google Cloud Platform, especially BigQuery
- 1 day off when you move house - because moving is hard enough without work!
- Proven experience with dbt (modelling, testing, documentation)
- Experience with orchestration tools (e.g.
- Experience building dashboards in Looker (LookML is a strong plus)
Preferred experience
- expert level, performance tuning experience preferred
Qualification wording
Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake)
Hands-on experience with Google Cloud Platform, especially BigQuery
1 day off when you move house - because moving is hard enough without work!
Proven experience with dbt (modelling, testing, documentation)
Experience with orchestration tools (e.g. Airflow)
Experience building dashboards in Looker (LookML is a strong plus)
Strong SQL skills (expert level, performance tuning experience preferred)
Tools in this posting
- SQL
- BigQuery
- dbt
- Hightouch
- Looker
- Snowflake
- Airflow
- GCP
Source — Tool mentions in context
- Previous experience in analytics engineering, BI or data analytics roles - Strong SQL skills (expert level, performance tuning experience preferred) - Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake)
WHAT YOU'LL BE DOING - Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery) - Create and maintain dashboards and explores in Looker, enabling self-serve analytics
- Partner with stakeholders across all parts of the business including commercial, product, marketing, finance, and operations - Optimise query performance and manage cost efficiency in BigQuery - Mentor junior analysts and promote best practices in analytics engineering across the wider analytics team
- Strong SQL skills (expert level, performance tuning experience preferred) - Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake) - Proven experience with dbt (modelling, testing, documentation)
NICE TO HAVE - Hands-on experience with Google Cloud Platform, especially BigQuery - Experience with orchestration tools (e.g. Airflow)
- Define and maintain core business metrics and data definitions in partnership with stakeholders and the wider analytics team - Implement data quality checks, testing, and documentation within dbt - Partner with stakeholders across all parts of the business including commercial, product, marketing, finance, and operations
- Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake) - Proven experience with dbt (modelling, testing, documentation) - Experience building dashboards in Looker (LookML is a strong plus)
WHAT YOU'LL OWN - The transformation layer (dbt) and semantic layer (Looker) - Core business metrics and reporting definitions
- Knowledge of data governance and data quality frameworks - Exposure to reverse ETL tools (e.g. Hightouch) - Familiarity with AI coding assistants and a habit of integrating them into day-to-day analytics workflows
- Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery) - Create and maintain dashboards and explores in Looker, enabling self-serve analytics - Translate business requirements into clear data models, metrics, and visualisations
- Proven experience with dbt (modelling, testing, documentation) - Experience building dashboards in Looker (LookML is a strong plus) - Solid understanding of data modelling concepts (star schema, dimensional modelling)
- Clean, well-documented, and trusted data models used across the company - High adoption of Looker dashboards and self-serve analytics - Reduced time-to-insight for stakeholders with the use of AI tooling to accelerate delivery
- Hands-on experience with Google Cloud Platform, especially BigQuery - Experience with orchestration tools (e.g. Airflow) - Knowledge of data governance and data quality frameworks
About Carwow
To become the car-changing destination of choice.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 2026 · 1 day ago
- Recorded sightings
- 2
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
OUR MISSION
To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell, advertise and lease cars on its head.
What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service.
In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with almost 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350million.
And we’re a long way from done!
THE ROLE
We’re looking for a Senior Analytics Engineer / BI Analyst to bridge the gap between data engineering and business insight. You’ll take ownership of transforming raw data into trusted, well modelled datasets and deliver impactful reporting that drives decision making across the business. This role combines strong technical data modelling skills with stakeholder-facing analytics and BI development.
WHAT YOU'LL BE DOING
Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery)
Create and maintain dashboards and explores in Looker, enabling self-serve analytics
Translate business requirements into clear data models, metrics, and visualisations
Define and maintain core business metrics and data definitions in partnership with stakeholders and the wider analytics team
Implement data quality checks, testing, and documentation within dbt
Partner with stakeholders across all parts of the business including commercial, product, marketing, finance, and operations
Optimise query performance and manage cost efficiency in BigQuery
Mentor junior analysts and promote best practices in analytics engineering across the wider analytics team
WHAT YOU'LL NEED
Previous experience in analytics engineering, BI or data analytics roles
Strong SQL skills (expert level, performance tuning experience preferred)
Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake)
Proven experience with dbt (modelling, testing, documentation)
Experience building dashboards in Looker (LookML is a strong plus)
Solid understanding of data modelling concepts (star schema, dimensional modelling)
Experience working with large-scale datasets
Strong communication skills with the ability to work with non-technical stakeholders
NICE TO HAVE
Hands-on experience with Google Cloud Platform, especially BigQuery
Experience with orchestration tools (e.g. Airflow)
Knowledge of data governance and data quality frameworks
Exposure to reverse ETL tools (e.g. Hightouch)
Familiarity with AI coding assistants and a habit of integrating them into day-to-day analytics workflows
SUCCESS IN THIS ROLE LOOKS LIKE
Clean, well-documented, and trusted data models used across the company
High adoption of Looker dashboards and self-serve analytics
Reduced time-to-insight for stakeholders with the use of AI tooling to accelerate delivery
Clear, consistent definitions of key business metrics
Improved data reliability and fewer reporting discrepancies
WHAT YOU'LL OWN
The transformation layer (dbt) and semantic layer (Looker)
Core business metrics and reporting definitions
Data quality and testing frameworks
BI best practices and documentation standards
WHAT’S IN IT FOR YOUHybrid working
Competitive salary to fund that dream holiday to Bali
Matched pension contributions for a peaceful retirement
Share options - when we thrive, so do you!
Bupa Private Healthcare, for peace of mind, plus eyecare vouchers
Life Assurance for (even more) peace of mind
Monthly coaching sessions with Spill - our mental wellbeing partner
Enhanced holiday package, plus Bank Holidays
28 days annual leave
1 day for your wedding
1 day off when you move house - because moving is hard enough without work!
For your third year anniversary, get 30 days of annual leave per year
For your tenth year anniversary, get 35 days of annual leave per year
Option to buy 3 extra days of holiday per year
Work from abroad for a month
Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies
Bubble childcare support and discounted nanny fees for little ones
The latest tech (Macbook or Surface) to power your gif-sending talents
Up to £500/€550 home office allowance for that massage chair you’ve been talking about
Generous learning and development budget to help you master your craft
Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for
Refer a friend, get paid. Repeat for infinite money
Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, United Kingdom
To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell, advertise and lease cars on its head. What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service. In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with almost 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350million.
More source context
WHAT’S IN IT FOR YOU - Hybrid working - Competitive salary to fund that dream holiday to Bali
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.