SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Wolt, now part of the DoorDash group (operating across DoorDash, Deliveroo, and Wolt), is seeking a BI Engineer to join the Core BI team in London. The Core BI team builds and operates the services, integrations, and automation that power business intelligence across the entire group, supporting analysts, analytics engineers, data scientists, software engineers, and business teams.
In this role, you will own problems end-to-end—from discovery through design, implementation, deployment, and operational support. You will build and operate the models, systems, and automation behind BI platforms, primarily Looker and Sigma, while helping shape a single integrated BI platform across all three brands.
Key responsibilities include:
- Owning and evolving the semantic layer behind BI platforms: LookML and Canvas BI models, metric and dimension definitions, and governance
- Building and operating Looker and Sigma platforms: instance and workspace configuration, permissions, user attributes, content lifecycle, and API-driven automation
- Leading development of self-serve tooling to remove manual BI administration, using usage analytics to guide priorities
- Supporting BI platform migrations and deprecations across DoorDash, Deliveroo, and Wolt while protecting access, governance, data integrity, and business continuity
- Participating in operational support, production debugging, and incident response for the BI stack
- Championing engineering standards in BI, including version control, code review, CI, and testing for models and platform code
You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers, and business teams in a fast-paced, distributed environment.
REQUIREMENTS:
- 3+ years of experience in business intelligence engineering, analytics engineering, data engineering, or similar code-first data role
- Strong Python and SQL skills
- Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) to accelerate engineering work
- Hands-on experience building in a BI platform such as Looker (LookML) or Sigma, including modelling and configuring (not just building dashboards)
- Experience with semantic or metrics layers (LookML, dbt, or similar): defining metrics and dimensions and keeping definitions consistent across reuse
- Experience running code in production: version control, code review, CI, debugging live issues, and operational support
- Excellent communication skills and comfort self-organizing in a fast-paced, distributed environment with technical and non-technical teams
NICE TO HAVE:
- Experience with modern data warehousing platforms (Snowflake, Databricks, Redshift) and performance optimization
- Experience automating BI administration through platform APIs or identity and access management (Okta, SCIM, role-based access controls)
- Experience supporting a BI stack across multiple brands, tenants, or regions, or leading a BI platform migration
