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DeliverooSenior Analytics Engineer
Deliveroo's London analytics engineering role is full-time and centres on producing clean, tested and carefully documented data models for data scientists and business users. Outputs are…
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About This Role
Deliveroo's London analytics engineering role is full-time and centres on producing clean, tested and carefully documented data models for data scientists and business users. Outputs are delivered via Snowflake and Looker. The engineer reports to an Analytics Engineering Manager within the team. A minimum of six years in analytics, data or BI engineering is expected. The engineer works with product engineering colleagues to make source data fit downstream needs, maintains…
Job Description
Deliveroo's London analytics engineering role is full-time and centres on producing clean, tested and carefully documented data models for data scientists and business users. Outputs are delivered via Snowflake and Looker. The engineer reports to an Analytics Engineering Manager within the team.
A minimum of six years in analytics, data or BI engineering is expected. The engineer works with product engineering colleagues to make source data fit downstream needs, maintains SQL transformation logic, and reviews data scientists' modelling so the team gets denormalised and aggregated tables. The role also aims to make Looker more effective as a product for around 1,500 current active users, so that datasets are easy to find and use.
The ideal candidate writes excellent SQL, understands warehousing and modelling, and has worked with cloud MPP platforms such as Snowflake, BigQuery or Redshift. Hands-on time with a BI tool like Looker is an asset, as are disciplined version control, ETL or ELT skills, DAG-based scheduling, Python for automation and integration work, and knowledge of the Looker API.
The employer presents itself as a fast-growing start-up dedicated to making local food more convenient, and frames the post as a chance to build an engineering career with visible influence.
Responsibilities
- Deliver tested, documented models that data scientists and business users can trust
- Collaborate with product engineering on how source data is modelled
- Build and maintain SQL transformation code
- Advise and review data scientists' modelling work
- Make Looker more useful and more widely adopted across the company
Requirements
- Six or more years in analytics, data or BI engineering
- Excellent SQL
- Understanding of warehousing and data modelling principles, including new table design
- Experience with cloud MPP warehouses such as Snowflake, BigQuery or Redshift
Qualifications
- Experience developing in Looker or a similar BI tool
- Version control habits
- ETL or ELT knowledge with DAG-based dependency management
- Python for automation and integrations
- Familiarity with the Looker API
Core Skills
Benefits
- Wellbeing and family support, financial matters, community initiatives, convenience perks, growth opportunities and relocation assistance
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based?
The listing places the role in London and marks it as on-site.
How much experience is required?
At least six years in analytics, data or BI engineering.
Which tools are central to the role?
Snowflake and Looker, along with SQL and cloud warehouses such as BigQuery or Redshift.
Is a salary stated?
No salary is stated.
Sample Interview Questions
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