Customer Data Analytics Lead

Montash; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Join a fast-scaling FinTech company as a Customer Platform Data & Analytics Lead, where you'll lead a talented team of data engineers and shape the future of embedded analytics within a SaaS environment. This role offers a unique opportunity to influence architecture and best practices while remaining hands-on with complex engineering tasks. You'll collaborate with cross-functional teams to drive data innovation and enhance customer experiences. If you're passionate about data and ready to make a real impact in a dynamic environment, this position is for you!

Qualifications

• 5+ years in data/analytics engineering, with leadership experience.
• Strong hands-on expertise in Databricks, Python, and PySpark.

Responsibilities

• Lead and manage a team of data & analytics engineers.
• Architect and oversee the development of cloud-native data infrastructure.

Skills

Data Engineering

Analytics

Leadership

Cloud Infrastructure

Communication

Collaboration

Education

Bachelor's Degree in a related field

Tools

Databricks

Python

PySpark

Delta Lake

Kafka

AWS

Azure

GCP

Terraform

GitHub

Job description

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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 [e-mail] for a confidential conversation.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance

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