Lead Data Platform Engineer

The Role:

Lead Data Platform Engineer

A fast-growing financial technology business is expanding its data capability and is looking for an experienced data professional to help shape and scale its analytics platform. This role is ideal for someone who enjoys building robust data foundations and wants greater exposure to solution design and platform architecture.

You’ll be instrumental in evolving a cloud-based data environment, enabling reliable reporting, analytics, and downstream decision-making across the organisation. Working alongside product teams, engineers, and business users, you’ll translate complex requirements into resilient, high-performing data solutions.

Key Responsibilities:

Core responsibilities

• Own the reliability and performance of data platforms used for insight and reporting
• Partner with technical and non-technical stakeholders to define data requirements and delivery outcomes
• Create and manage automated data pipelines to ensure timely, accurate data availability
• Develop and maintain database objects, schemas, and data models
• Diagnose data quality issues and implement long-term fixes
• Apply best practices around security, governance, and deployment

Key Requirements:

What we’re looking for

• Commercial experience in data engineering roles (mid-senior level)
• Hands-on expertise with Azure data services such as Data Factory, Synapse and Azure SQL
• Experience using Databricks and Python in data processing workflows
• Strong SQL skills and practical knowledge of dimensional modelling and warehouse design
• Familiarity with CI/CD approaches for data and analytics solutions
• Confident communicator with the ability to work across teams

This role is UK-based, offers a high degree of remote working, and comes with a salary of up to £80,000 to £90,000 depending on experience.