Staff Data Engineer: AI-First BigQuery Platform Lead

Rvu; Greater London, Fleet; Hybrid; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model – 2 days in office

Employer pension contributions

Private medical cover

Annual bonus 10%

Wellness & learning budget

Home office budget £300

Gym access & healthy meals

Tech setup (Mac or Windows)

Regular company events

Job summary

RVU is seeking a Staff Data Engineer to build and optimize the Tempcover data platform on Google Cloud. You will lead ELT pipelines, data models, and quality controls, collaborating with analysts and business stakeholders to deliver scalable analytics solutions.

You’ll spend time on BigQuery-based development, with Azure experience as a plus, and contribute to an AI-first data platform that delivers rapid value across marketing, pricing and product teams.

Qualifications

• Advanced SQL with complex queries, partitioning and cost awareness.
• Experience with modern ELT tooling (Dagster, dbt).
• Strong Python skills for data engineering.
• Solid data warehousing knowledge and dimensional modelling.
• Experience designing data models usable by AI/LLM analytics.
• Cloud data infra knowledge, preferably GCP (Azure/AWS also ok).
• Excellent problem-solving and independent yet collaborative work style.
• Hands-on CI/CD experience for data code across environments.

Responsibilities

• Design, build, and maintain ELT pipelines on BigQuery with dbt and Dagster+.
• Create and manage scalable data models to support analytics.
• Propose internal improvements to the data platform and drive performance tuning.
• Maintain data contracts, observability, and lineage for data quality.
• Champion engineering standards including CI/CD, IaC, and testing.
• Ensure high availability of data for the wider business.
• Collaborate with MI, Marketing, Product, and Pricing stakeholders.

Skills

Advanced SQL

Dagster

dbt

Python

Data warehousing

Cloud data infra (GCP)

CI/CD

Git

Tools

BigQuery

Dagster

dbt

Git

Job description

RVU is seeking a Staff Data Engineer to build and optimize the Tempcover data platform on Google Cloud. You will lead ELT pipelines, data models, and quality controls, collaborating with analysts and business stakeholders to deliver scalable analytics solutions.

You’ll spend time on BigQuery-based development, with Azure experience as a plus, and contribute to an AI-first data platform that delivers rapid value across marketing, pricing and product teams.