Senior Analytics Platform Engineer
- Designing and maintaining analytics-ready data models in Snowflake using dbt, including data marts, metrics, and reusable analytical datasets.
- Applying scalable modelling patterns and contributing to organisation-wide standards and conventions.
- Coaching analysts, data scientists, and science teams in analytics engineering best practice, modelling, testing, documentation, and data quality.
- Enabling domain teams to own and maintain their data marts safely and confidently, with guidance and review to ensure alignment with platform standards.
- Partnering with internal researchers to translate exploratory analysis into repeatable, well-modelled datasets with clear definitions and reproducible insights.
- Shaping analytical products around real use cases, ensuring data marts are intuitive, discoverable, and fit for purpose.
- Owning data quality at the analytics layer, using dbt tests, monitoring, and close collaboration with platform engineers to resolve issues.
- Building and maintaining the semantic layer in Snowflake and Omni to support consistent, self-serve analytics.
- Supporting adoption of Omni through documentation, examples, and hands-on guidance.
- Collaborating with data product teams on ingestion, data contracts, and quality expectations.
- Working closely with Analytics Platform Engineers on dbt execution patterns, performance optimisation, and CI/CD improvements.
- Mentoring mid-level analytics engineers and contributing to a culture of high-quality, scalable analytics.
- Working in a siloed environment with no freedom to make decisions.
- Working in a place where you can't see the impact your expertise makes.
- Proven analytics engineering experience with a track record of building analytics-ready datasets.
- Python engineering ability to produce clean, maintainable, production-grade code.
- Hands-on dbt expertise including modelling, testing, documentation, and data quality.
- Understanding of metrics and KPIs and how to translate them into well-structured data models.
- Experience working with analysts and data scientists to support and enable analytical work.
- Clear, empathetic communication to explain modelling decisions to non-engineers.
- A coaching mindset that helps domain teams take ownership of their models.
- Strong analytical problem-solving with a focus on clarity, simplicity, and maintainability.
- Comfort navigating complex data ecosystems and shaping standards across teams.
- Interest in platform-level concerns such as performance, orchestration, CI/CD, and reliability.
- Experience with cloud-native tooling including Kubernetes and containers.
- Familiarity with semantic layers such as Snowflake, Omni, or Looker.
- Experience in regulated or scientific environments where governance and reproducibility matter.
- Salary from £80,000 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.
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