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Job Description

We’re looking for a Senior Data Engineer to help build and scale a modern, configuration-led data platform leveraging Databricks and Snowflake. The platform is designed to enable non-technical users to define and manage complex regulatory logic, while ensuring data remains scalable, traceable, and fit for client-facing use.

This role sits within a key phase of infrastructure transformation, as the business transitions from legacy Python-based processes and MySQL databases to a more scalable cloud- architecture. The systems underpin critical reporting workflows for financial institutions, where accuracy, transparency, and reliability are essential.

You’ll be expected to produce high-quality, maintainable, and well-tested code, while also contributing to the technical direction of the team and supporting more junior engineers.

Key Responsibilities

Develop and enhance a configuration-driven data platform using Databricks and Snowflake Build, maintain, and optimise data pipelines using Python, PySpark, and streaming technologies Ensure data pipelines are robust, traceable, and compliant, with strong lineage and fault tolerance Implement and maintain data quality frameworks, including validation, monitoring, and alerting Optimise performance across distributed data processing and warehouse environments Work closely with product, engineering, DevOps, and regulatory stakeholders to translate requirements into scalable solutions Support and guide junior team members, contributing to overall team capability and delivery Continuously improve development standards, tooling, and engineering practices

Required Experience

Proven experience building scalable and auditable data pipelines in regulated or high-integrity environments Strong proficiency in Python and PySpark Advanced SQL skills, including working with large and complex datasets Solid understanding of data modelling and warehouse design principles Strong grounding in software engineering best practices (clean code, testing, CI/CD, observability) Experience working with modern cloud-based data platforms and orchestration tools Ability to interpret and translate complex regulatory or business requirements into technical solutions Comfortable working independently with ownership of key systems and deliverables

Desirable Experience

Exposure to event-driven architectures (e.g. Kafka or similar tools) Experience with AWS cloud environments Track record of building new data platforms or transforming legacy systems Background in financial services or FinTech

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