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Customer Data Analytics Lead (London Area)

Montash
London
7 months ago
Applications closed

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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 aCustomer Platform Data & Analytics Leadto 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 usingDatabricks,Python,PySpark, andDelta 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 inDatabricks,Spark,Python,PySpark, andDelta Live Tables.
  • Experience designing and delivering scalable data pipelines and streaming data processing (e.g.,Kafka,AWS Kinesis, orAzure Stream Analytics).
  • Background in cloud environments such asAWS,Azure, orGCP.
  • 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 likeGreat ExpectationsorPyTest.


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 for a confidential conversation.

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