Flagstone Group LTD - Analytics Engineer
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Requirements
• Strong SQL skills and experience building data models and pipelines using dbt on cloud warehouses (preferably Databricks or similar modern data warehouses). • Experience using Python to support data transformation, automation and advanced analysis within analytics workflows. • Solid understanding of product metrics, financial and CRM data. • An ability to balance technical build (ETL, modelling, data engineering) with analytical insight (storytelling, stakeholder communications). • A proactive approach to leveraging AI agents and automated workflows to improve data modelling standards and drive efficiency as we scale our warehouse. • Familiarity with Microsoft Azure as a cloud platform, alongside experience with Git and CI/CD workflows to support collaborative, production-grade analytics development. • Excellent communication skills, and the ability to work cross functionally and explain data clearly to non-technical stakeholders. • Proactive problem solving and a delivery focused mindset. • Understanding of fundamental data governance policies, and the ability to embed effective data quality monitoring into analytics workflows. • How we reward you: • How we reward you: • At Flagstone, the benefits extend beyond false gifts like “fruit and snacks”. Instead, we invest in your health, wealth, and professional development. Here’s a selection of our benefits: • Hybrid working - Spend at least 1 day a week with your team in our collaborative London office • Competitive bonus scheme - designed to reward and recognise high performance • Flexible benefits budget - a pot to fund meaningful benefits for you, whether it's hormone or fertility testing, cancer screening, neuro-diversity coaching or something that matters for you. • A range of salary sacrifice options to help you make tax efficient savings on electric cars, nursery schemes, home and tech goods. • Around the World scheme - 3 months work from anywhere scheme • Mental wellbeing support – Access therapy and mental health sessions through Spill • Learning and development – £1,000 personal development budget to help you grow in your role. • Private health care - Enjoy all the benefits AXA has to offer, including reduced gym memberships and medical history disregarded • Medical cash plan - To help you with the costs of dental and optical expenses • Life insurance and Income Protection- four times your annual salary for peace of mind • Matched pension contributions up to 5% • 25 days holiday - plus bank holidays, well-being days and volunteering days • Enhanced Parental Leave – enhanced maternity, paternity and adoption pay. • All are welcome. • All are welcome. • At Flagstone, we’re assembling a diverse team that defies our industry’s norms. Think this role could suit you? We encourage you to apply, no matter your background.
Responsibilities
• Reporting to the Analytics Engineering Team Lead, you will partner closely with Product teams to deliver the data, reporting, and insights they need for MI, OKR reporting, and measuring product outcomes. You will also be surfacing insights that enable a data driven Product Feature roadmap, prioritising key client requirements. • Design, build, and maintain robust data models and pipelines to ensure product and other teams have access to accurate, trusted data. • Work closely with Product Managers and Analysts to understand their strategic analytics requirements, translating them into scalable, well governed data infrastructure that supports decision making at pace. • Help to translate complex source data into clear, actionable insights for decision making. • Ensure accuracy, governance, and lineage across datasets critical to product reporting. • Enable self service analytics for product teams through AI assisted data exploration, powered by MCP • Contribute to the development of our data platform, ensuring scalability as the business grows. • Contribute to the creation of a single source of truth for business metrics by defining, documenting, and maintaining a data dictionary to ensure consistency and clarity across teams.
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