Lead Data Engineer

Function Leadership & Team Management

• Own the Data Engineering function: standards, tooling, and delivery processes
• Manage, mentor, and develop a team of data engineers including performance and development plans
• Lead recruitment and be the engineering voice in cross-functional planning

Data Engineering & Architecture

• Design and build high-performance ETL/ELT pipelines across operational, analytical, and AI data layers
• Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks
• Hands-on ownership of the most complex implementation work

Data Modelling & Design

• Define and evolve data models powering SCV, segmentation, AI features, and analytics
• Work across dimensional, event-based, and ML-aligned data structures

DevOps, CI/CD & AI Ops

• Own CI/CD for data pipelines using Git-based workflows, deployment governance, and rollback handling
• Orchestrate ML model outputs into production pipelines with resilience controls
• Drive AI tooling adoption across engineering: code generation, data profiling, documentation, and testing
• Implement structured logging, alerting, SLA tracking, and access control

Key Technologies

• Cloud: Azure, AWS, or GCP

  SQL (T-SQL, PostgreSQL), Python, versioned metadata frameworks

• DevOps: Git, CI/CD (Azure DevOps, GitHub Actions)

  Monitoring: Custom logging, alerts, structured failure handling

• Security: Role-based schema access, PII isolation, audit trails

• First-class STEM degree from a prestigious university
• 5+ years in Data Engineering/Platform roles, 2+ years in a lead or senior capacity
• Proven line management experience - not just technical leadership
• Track record of building or improving engineering processes and team structures
• Expertise in SQL pipelines, Python orchestration, dimensional modelling, and star/snowflake schemas
• Experience with cloud data infrastructure, CI/CD automation, and metadata frameworks
• Comfortable working across product, AI, and client delivery teams

• Build and lead a Data Engineering function from the ground up
• Work on real-world AI challenges for enterprise clients across multiple sectors
• Direct mentorship from the CTO and Technical Architect
• Competitive salary, learning budget, and fast-track growth

Our client is a leading AI-powered SaaS company that helps businesses unlock the full potential of their first-party data. Their platform transforms complex data into actionable intelligence, enabling clients to drive revenue growth and optimise decision-making. They specialise in Finance, Retail, Travel, Telco, and Healthcare, working with major household-name brands. Currently serving clients in four countries with two live products and two AI solutions in development, this is an exciting time to join as they scale rapidly.