> Markdown version of [/jobs/ext/1604180-staff-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/1604180-staff-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Analytics Engineer - **Company:** Xbridge Limited - **Location:** London, UK - **Experience:** Expert - **Salary:** £53,380.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Data Analysis, Batch Processing, Computer Programming, Information Engineering, Data Warehousing, Software Engineering, Data Streaming, Systems Architecture, Feature Engineering, Snowflake, Apache Flink, Data Analytics, Machine Learning Operations, Data Pipelines, Databricks - **Published:** July 19, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5807192917 ## About the Role * 5+ years of experience in analytics or data engineering, with a strong technical background and a love for complex, fast-paced projects. * Deep expertise in data modelling and transformation, with hands-on experience using tools like dbt. * Cloud data warehouse experience using modern platforms like Snowflake or Databricks. * A track record of building ML features designed specifically for real-time applications. * Strong tool-evaluation skills, with the ability to assess and adopt new processes that drive AI and ML readiness. * Broad programming knowledge and ideally some exposure to real-time streaming frameworks like Apache Flink (insurance domain knowledge is a plus!). (We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points above to be considered for this role.) We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work. Ready to build the future of insurance tech? If you are a tech-first engineer who thrives on high autonomy, complex architecture, and the challenge of moving from batch processing to real-time, event-driven data streaming, we want to hear from you. You won't just be maintaining pipelines here; you will be pioneering the AI/ML foundations of a highly successful, data-driven scale-up. Click apply to start your journey with Simply Business. ## Description * Create and own key data models in our data warehouse, ensuring they are structured, robust, and fully AI/ML ready. * Pioneer new tools and technologies across the wider business, introducing capabilities that enable advanced analytical features. * Integrate fresh data sources to enrich our overall analytical power and feed our machine learning pipelines. * Collaborate with business and engineering teams to design and maintain a scalable, reliable architecture with a focus on feature engineering. * Manage our ELT pipelines to seamlessly feed our reporting systems and downstream analytical teams. * Guide product and engineering teams during application design to ensure upstream systems support our reporting, analytics, and ML requirements. ## Related Videos - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023)