Senior Analytics Platform Engineer — Remote & High-Impact

Our Future Health UK; Greater London; Hybrid; GBP 86,000 - 105,000; Full time

Benefits offered by this job

Salary from £95,000 per annum

Pension up to 12%

30 Days Holiday + Bank Holidays

Enhanced Parental Leave

Cycle to Work Scheme

Home & Tech Savings up to 8%

£1,000 Employee Referral Bonus

Wellbeing Support

Central London office in Holborn with/

Job summary

Our Future Health seeks a Staff Analytics Platform Engineer to shape the architecture, reliability, and future direction of our analytics platform powering trusted insights across the organisation.

You will provide technical leadership across ingestion, Snowflake architecture, semantic modelling, and secure analytics environments, defining patterns and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence.

Qualifications

• Deep experience building and running modern data platforms in complex, multi‑team environments.
• Excellent Python engineering skills and the ability to design scalable, reliable platform components.
• Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability.
• Hands-on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources.
• Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement.
• Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments.
• Ability to diagnose complex, cross‑cutting issues across data, infrastructure, and analytical workloads.
• Experience mentoring engineers and raising capability across data and platform teams.

Responsibilities

• 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

Skills

Python

Snowflake

dbt

Kubernetes

Airbyte

CI/CD

Data modelling

Cloud-native

Terraform

Observability

Tools

Snowflake

dbt

Airbyte

Terraform

Kubernetes

Job description

Our Future Health seeks a Staff Analytics Platform Engineer to shape the architecture, reliability, and future direction of our analytics platform powering trusted insights across the organisation.

You will provide technical leadership across ingestion, Snowflake architecture, semantic modelling, and secure analytics environments, defining patterns and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence.