Customer Data Analytics Lead

Customer Platform Data Analytics Lead Remote (with regular travel to a London-based office) Competitive Salary Benefits Full Time | Permanent A fast-scaling, well-funded FinTech in the insurance and payments space is looking for a Customer Platform Data & Analytics Lead to head up a growing team of talented data engineers. This is a unique opportunity to lead the embedded analytics function within a SaaS product environment, shaping architecture and best practices while remaining hands-on with complex engineering tasks. You'll join a high-performing, collaborative team at a company backed by major funding and trusted by leading insurers and global clients. The culture is open, inclusive and ambitious — and you’ll have real influence as they continue to scale. What You’ll Do Lead, mentor and manage a squad of 5 data & analytics engineers. Define technical standards and drive excellence in engineering practices. Architect and oversee the development of cloud-native data infrastructure and pipelines using Databricks , Python , PySpark , and Delta Lake . Guide the implementation of embedded analytics, headless APIs, and real-time dashboards for customer-facing platforms. Partner with Product Owners and Tech Leads to deliver end-to-end data solutions that enhance customer experiences. Collaborate cross-functionally to identify reusable assets, drive data innovation and contribute to the wider data strategy. What You’ll Bring 5 years in data/analytics engineering, including 2 years in a leadership or mentoring role. Strong hands-on expertise in Databricks , Spark , Python , PySpark , and Delta Live Tables . Experience designing and delivering scalable data pipelines and streaming data processing (e.g., Kafka , AWS Kinesis , or Azure Stream Analytics ). Background in cloud environments such as AWS , Azure , or GCP . Familiarity with DevOps tools: Terraform , GitHub , CI/CD pipelines. Exposure to embedded analytics or building data products within SaaS platforms. Excellent communication, collaboration, and coaching skills. Bonus Points For Experience in insurance, payments, fintech, or other regulated industries. Building pipelines for AI/ML models using tools like Mosaic ML. Working with semantic layers and advanced data modelling techniques. Implementing automated testing frameworks like Great Expectations or PyTest . Ready to lead the charge in a company that values innovation, autonomy and real impact? Let’s chat. Apply now or reach out directly to munveerj@montash.com for a confidential conversation.