Lead Data Engineer

Role Overview

The Lead Data Engineer role will be a technically capable role which will help to drive forward and shape how Vida Bank uses data to drive commercial success. This role will work within the data team across departments to integrate diverse data sources, and deliver insights that drive both day to day decisions and long term strategic planning. They will also lead a small team of engineers assisting with work prioritisation, development of standards and guardrails as well as leadership and mentorship to the team.

Key Responsibilities

• Own the design and implementation of physical data models, dimensional models and semantic models required to support operational, analytical and regulatory reporting, ensuring alignment with enterprise data architecture standards.
• Own the design, build, testing and documentation of data pipelines, integrating data from source systems into the data lake and transforming it for use in the data warehouse and reporting layers.
• Set and maintain engineering standards, patterns and guardrails for data development, ensuring solutions are reliable, secure, maintainable and aligned to Vida's architecture principles.
• Lead and support a small team of data engineers, helping to prioritise work, remove blockers, review technical outputs and build team capability through coaching and mentoring.
• Work with business stakeholders to understand data needs, translate them into clear technical requirements and deliver trusted datasets, reports and insights that support decision making.
• Improve data quality and control standards, ensuring key data outputs are accurate, traceable and fit for operational, commercial and regulatory use.
• Manage technical relationships with internal teams and external suppliers, ensuring delivery is joined up, dependencies are clear and outcomes are achieved to agreed standards.
• Support the ongoing maturity of Vida's data platform, identifying opportunities to simplify processes, improve automation and increase resilience across the data estate.

Requirements

• Strong hands on experience designing, building, testing and supporting data pipelines in a modern cloud data environment.
• Good working knowledge of Microsoft data technologies, including Azure Data Factory, Azure data services, SQL Server, Power BI and related tooling.
• Strong SQL capability, including data extraction, transformation, performance tuning and troubleshooting.
• Experience building reliable data warehouse, data lake or reporting solutions that support operational, commercial or regulatory reporting.
• Good understanding of data modelling, data quality controls, documentation and testing standards.
• Ability to remain hands on while leading technical delivery, setting standards and reviewing the work of others.
• Experience leading, coaching or mentoring data engineers or analysts in a delivery focused environment.
• Confident working with business stakeholders to understand requirements and translate them into practical data solutions.
• Strong communication skills, with the ability to explain technical topics clearly to both technical and non technical audiences.
• Experience working in financial services or another regulated environment is desirable.
• Familiarity with governance, control and audit expectations for business critical data is desirable.
• Experience with Python, C#, automation or software engineering practices is desirable.
• Experience working with Microsoft Fabric or a comparable lakehouse platform, including data pipelines, semantic models and Power BI reporting, is desirable.

Benefits

We offer a comprehensive benefits package to support our employees' professional and personal needs. Further details can be provided upon application.