Analytics platform engineer

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

Benefits offered by this job

Generous Pension Scheme

30 Days Holiday + Bank Holidays

Enhanced Parental Leave

Cycle to Work Scheme

Home & Tech Savings

Employee Referral Bonus

Wellbeing Support

Central London office in Holborn with柔

Job summary

Our Future Health UK is seeking a Staff Analytics Platform Engineer to shape the architecture, reliability, and future direction of the analytics platform powering trusted insights. You will co‑own architecture, drive a scalable data stack, and lead initiatives across Snowflake, dbt, and CI/CD.

This role requires strong Python engineering and leadership across data platforms. Based in London with flexible remote arrangements, the role offers a competitive salary and a path to mature data

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.
• Clear, influential communication skills with the ability to align teams around platform strategy.

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

Analytics data modelling

Strong communication

Platform reliability

Tools

Snowflake

dbt

Airbyte

Kubernetes

CI/CD

Job description

Описание

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.

Задачи

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.

Требования

• 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
• A track record of improving developer experience and reducing friction in data development
• Clear, influential communication skills with the ability to align teams around platform strategy
• Experience mentoring engineers and raising capability across data and platform teams
• Hands‑on dbt and analytics CI/CD experience
• Experience with Kubernetes and cloud‑native environments
• Familiarity with semantic layers and BI tooling (e.g. Omni)
• Experience supporting secure notebook environments (Coder, Jupyter, RStudio)
• Comfort working in regulated environments with strong governance and audit needs
• Knowledge of Terraform, data governance models, and data observability tooling

Условия

• Salary from £95,000 per annum
• Generous Pension Scheme - We invest in your future with employer contributions of up to 12%
• 30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you
• Enhanced Parental Leave - Supporting you during life's biggest moments
• Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice
• Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice
• £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board!
• Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family
• A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements