Data Engineer at Versant3

We are introducing a Data Engineer role within our Product & Technology team to strengthen and modernise our data foundations. This role is ideal for an ambitious mid-level engineer who wants meaningful ownership and the opportunity to grow into broader technical leadership over time. Initially, you will focus on improving the quality, structure and performance of our existing data landscape. You will support active product initiatives that require structured data fixes and transformations, improve database performance, and help automate manual processes. Working closely with senior engineers and stakeholders across Product, Engineering and Compliance, you will help evolve our approach to data governance, retention and platform scalability. This is a hands-on engineering role with clear progression potential as our data capability matures. What You’ll Be Working On Strengthening Our Data Foundations • Investigating and resolving data inconsistencies across existing systems. • Supporting structured data fixes and transformations required for product rollouts. • Improving indexing strategies, query performance and database efficiency. • Refactoring schemas and improving data structures to increase reliability and maintainability.Automating & Improving Data Processes • Designing repeatable data cleansing and validation processes. • Reducing manual operational interventions through automation. • Building and maintaining data transformation workflows. • Building and maintaining ETL/ELT pipelines and scheduled data workflows to support engineering and analytics use cases.Supporting Compliance & Governance • Reviewing current data retention practices and identifying improvement areas. • Implementing automated retention and deletion processes in line with GDPR principles. • Improving traceability and control of personal and transactional data.Enabling Better Reporting & Future Capability • Strengthening the data models that underpin reporting and analytics. • Improving trust, consistency and usability of data across teams. • Contributing to the longer-term evolution of our data platform. • Partnering with product and analytics stakeholders to ensure data models are fit for reporting, metrics and decision-making.