Asks for

The ad says“Hands‑on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources”
The ad says“Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability”
The ad says“Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement”
The ad says“Familiarity with semantic layers and BI tooling (e.g. Omni)”
The ad says“Hands‑on dbt and analytics CI/CD experience”
The ad says“Experience with Kubernetes and cloud‑native environments”
The ad says“Experience supporting secure notebook environments (Coder, Jupyter, RStudio)”
The ad says“Knowledge of Terraform, data governance models, and data observability tooling”
The ad says“Knowledge of Terraform, data governance models, and data observability tooling”
The ad says“Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments”
The ad says“Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement”
The ad says“Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement”
The ad says“Experience supporting secure notebook environments (Coder, Jupyter, RStudio)”
The ad says“Experience with Kubernetes and cloud‑native environments”
The ad says“Familiarity with semantic layers and BI tooling (e.g. Omni)”
The ad says“Excellent Python engineering skills and the ability to design scalable, reliable platform components”
The ad says“Experience supporting secure notebook environments (Coder, Jupyter, RStudio)”
The ad says“Experience supporting secure notebook environments (Coder, Jupyter, RStudio)”
The ad says“Familiarity with semantic layers and BI tooling (e.g. Omni)”
The ad says“Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments”
The ad says“Knowledge of Terraform, data governance models, and data observability tooling”
The ad says“Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement”

We’re looking for a Staff Analytics Platform Engineer. In this role you will shape the architecture, reliability, and future direction of the analytics platform that powers trusted, high‑quality insight across Our Future Health
As a Staff Analytics Platform Engineer, you’ll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments
You’ll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence. This is a role where your decisions shape the platform for years to come, and your impact multiplies across every team that uses data
Co‑owning the analytics platform architecture, designing end‑to‑end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments
Defining and driving the long‑term technical vision for the analytics platform, ensuring it is scalable, cost‑efficient, secure, and easy for data consumers to use
Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem
Leading high‑impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity
Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code
Acting as the technical escalation point for complex, cross‑cutting platform issues and guiding teams toward robust, scalable solutions
Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns
Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale
Collaborating with data product and engineering teams to enable safe, scalable ingestion and well‑defined data contracts
Influencing how teams design and interact with data systems, raising engineering standards across the organisation
Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function

Benefits

30 days annual leave plus bank holidays.
Generous company pension package with employer contributions of up to 12%
We have a lovely new office in Holborn, Central London and we offer flexible and remote working arrangements.
We offer all employees a life assurance policy.
Training support to help you achieve your potential.
All employees are covered by a group income protection scheme to support them in the event of long term sickness.

Preferred experience

Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability
Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement
Experience supporting secure notebook environments (Coder, Jupyter, RStudio)
Ability to diagnose complex, cross‑cutting issues across data, infrastructure, and analytical workloads
A track record of improving developer experience and reducing friction in data development
Experience with Kubernetes and cloud‑native environments
Familiarity with semantic layers and BI tooling (e.g. Omni)
Deep experience building and running modern data platforms in complex, multi‑team environments
Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments
Clear, influential communication skills with the ability to align teams around platform strategy
Excellent Python engineering skills and the ability to design scalable, reliable platform components
Experience mentoring engineers and raising capability across data and platform teams
Hands‑on dbt and analytics CI/CD experience
Knowledge of Terraform, data governance models, and data observability tooling
Comfort working in regulated environments with strong governance and audit needs
Hands‑on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources