Lead Data Engineer

Location: Flexible / Hybrid
Type: Permanent

Required Background

• 12+ years' experience delivering enterprise data and analytics solutions
• Proven track record owning end-to-end data architecture and complex technical initiatives
• Experience designing and delivering production-grade data platforms and shared data products
• Strong background translating complex business requirements into scalable data solutions
• Experience establishing engineering standards, best practices, and architectural governance
• Ability to work across multiple business domains and stakeholder groups
• Strong ownership mindset with experience leading technical design through to production delivery

Technical Skills

• Expert SQL
• Databricks Lakehouse architecture
• dbt
• PySpark
• Data architecture and solution design
• Data modelling and transformation frameworks
• Semantic layer design and implementation
• Data pipeline development and optimisation
• Unity Catalog
• Data governance and access controls
• Column-level security and PII management
• Data lineage and metadata management
• DataHub
• CI/CD and deployment practices
• Data observability and monitoring
• Testing frameworks and data quality controls

Nice to Have

• Experience supporting AI, machine learning, or conversational analytics workloads
• Experience designing reusable enterprise data products
• Knowledge of modern data governance frameworks
• Experience implementing data discovery and self-service analytics capabilities
• Exposure to large-scale cloud data platforms
• Experience building enterprise-wide reporting and analytics foundations
• Strong understanding of platform engineering and data product operating models

Key Responsibilities

• Architect and deliver enterprise data products end-to-end
• Design scalable data pipelines, models, and transformation frameworks
• Build and evolve semantic layers supporting reporting, analytics, and AI use cases
• Define and implement data governance, security, lineage, and ownership standards
• Establish engineering standards for quality, testing, documentation, and maintainability
• Drive platform observability, CI/CD, and data quality best practices
• Model complex business domains and create reusable data assets
• Own technical delivery from design through deployment and continuous improvement

Ideal Candidate

• Senior technical leader with deep data engineering and architecture expertise
• Strong hands-on capability across modern cloud data platforms
• Comfortable operating in complex enterprise environments
• Excellent problem-solving and stakeholder management skills
• Passionate about building scalable, governed, and reusable data products
• Able to balance strategic architecture with hands-on technical delivery