Senior Data Engineer / Lead Data Engineer

We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands-on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud-native data solutions that enable analytics and AI at scale.

This is a delivery-focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real-world environments.

What You’ll Be Doing

• Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
• Engineering cloud-native data platforms, primarily on AWS (with Azure exposure where required)
• Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
• Ensuring solutions are production-ready: secure, tested, observable, and cost-efficient
• Optimising data performance, reliability, and data quality in live environments
• Collaborating with analysts, data scientists, AI engineers, and platform teams
• Mentoring junior engineers and contributing to shared standards and accelerators

What You’ll Bring

• 6-8 years’ experience in hands-on data engineering roles
• Strong Databricks experience (Data Engineering, Delta Lake, Medallion Architecture)
• Design, build and support scalable data pipelines from enterprise source systems
• Build and maintain data models, mapping tables and curated data products within the ISP data platform
• Implement Master Data Management (MDM), data quality controls, monitoring and remediation workflows
• Develop automated data quality and completeness reporting, including AI-assisted reporting capabilities
• Support the industrialisation of AI-enabled applications, transitioning from file-based solutions to governed Databricks-backed data services
• Experience integrating AI/analytics tools with enterprise data platforms and supporting operationalisation of proof-of-concepts into production solutions

Nice to Have

• Experience enabling ML, AI, or GenAI workloads through strong data foundations
• Exposure to modern BI and analytics tooling
• Experience working in regulated or security-conscious environments
• Consulting or client-facing delivery experience