Lead Data Engineer

Salary: £85,000 - 90,000 per year

Requirements:

• First-class STEM degree from a prestigious university
• 5+ years of experience in Data Engineering or Platform roles, including 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 or snowflake schemas
• Experience with cloud data infrastructure, CI/CD automation, and metadata frameworks
• Comfortable working across product, AI, and client delivery teams
• Familiarity with cloud platforms such as Azure, AWS, or GCP; SQL technologies such as T-SQL or PostgreSQL; Python; versioned metadata frameworks; Git; CI/CD tools such as Azure DevOps or GitHub Actions; monitoring; and security practices including role-based schema access, PII isolation, and audit trails

Responsibilities:

• Lead our Data Engineering function, setting standards, tooling, and delivery processes
• Manage, mentor, and develop data engineers, including performance and development plans
• Lead recruitment and represent engineering in cross-functional planning
• 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
• Personally deliver the most complex implementation work
• Define and evolve data models that power SCV, segmentation, AI features, and analytics
• Work across dimensional, event-based, and ML-aligned data structures
• Own CI/CD for data pipelines, including Git-based workflows, deployment governance, and rollback handling
• Orchestrate ML model outputs into production pipelines with resilience controls
• Drive adoption of AI tools across engineering for code generation, data profiling, documentation, and testing
• Implement structured logging, alerting, SLA tracking, and access control

Technologies:

• AI
• AWS
• Architect
• Azure
• CI/CD
• Cloud
• CTO
• DevOps
• ETL
• GCP
• Git
• GitHub
• Support
• PostgreSQL
• Python
• SQL
• Security
• Snowflake

More:

We are a leading AI-powered SaaS company helping businesses unlock the potential of their first-party data. Our platform turns complex data into actionable intelligence to support revenue growth and better decision-making. We work with major household-name brands in Finance, Retail, Travel, Telco, and Healthcare, serving clients in four countries with two live products and two AI solutions in development. We are scaling rapidly. This player-manager role is based in London and reports to our Chief Technology Officer. You will build and lead our Data Engineering function from the ground up, work on real-world AI challenges for enterprise clients across multiple sectors, and receive direct mentorship from our CTO and Technical Architect. We offer a competitive salary, a learning budget, and fast-track growth.

last updated 40 week of 2026