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About the Role

Lead and grow a team of Analytics Engineers responsible for building scalable, trusted, and reusable data foundations that power analytics, decision making, and AI across Compare the Market. Translate organizational priorities into high-quality data products, trusted semantic foundations, and modern analytics capabilities. Foster technical excellence, delivery outcomes, and capability growth within the team. Partner with various technical and product teams to evolve the technical direction, engineering standards, and platform capabilities for a modern, self-service, and AI-enabled data ecosystem.

Responsibilities

Lead and support a team of Analytics Engineers, fostering a high performing, collaborative, and inclusive team culture.
Accountable for performance management, career development, engagement, retention, coaching, and mentoring.
Build strong cross-functional relationships to deliver analytics engineering initiatives.
Drive the design, evolution, and stewardship of scalable, maintainable, and analytics-ready data models, transformation pipelines, and reusable data products.
Own the development and governance of trusted semantic foundations, ensuring consistent definitions of business metrics, entities, and dimensions.
Establish and maintain data contracts, lineage standards, and governance controls.
Hold the team accountable for delivering high-quality outcomes and meeting engineering standards.
Establish and uplift engineering standards across testing, documentation, CI/CD, observability, and data quality.
Define and implement data observability practices including monitoring, alerting, and operational controls.
Improve operational excellence across the analytics estate by reducing technical debt, streamlining workflows, and improving developer experience.
Lead delivery planning and execution across multiple initiatives, balancing platform sustainability, innovation, and delivery commitments.
Drive adoption of self-service analytics capabilities by improving the accessibility, reliability, and usability of trusted data products.
Partner with Data Scientists and AI teams to ensure data products and model inputs are reliable, governed, and fit for purpose for machine learning and AI-enabled solutions.
Influence stakeholders at all levels to align priorities, communicate trade-offs, and manage delivery risks.
Foster a culture of continuous improvement, psychological safety, accountability, and knowledge sharing.

Requirements

Experience leading Analytics Engineering, Data Engineering, or Business Intelligence Engineering teams within a modern data environment.
Advanced SQL skills and hands-on experience with dbt and modern analytics engineering practices.
Proven experience designing and maintaining scalable data models, transformation pipelines, and reusable data products.
Experience establishing data quality, observability, lineage, and governance practices within production environments.
Experience designing or governing semantic layers, trusted metrics, and reusable business definitions.
Strong understanding of cloud-based data platforms and modern analytics ecosystems.
Experience balancing technical strategy, platform improvement, and delivery priorities across multiple stakeholders.
Strong communication and influencing skills, with the ability to translate technical concepts for both technical and non-technical audiences.
Proven people leadership capability including coaching, performance management, and talent development.
Experience supporting AI, machine learning, or advanced analytics use cases through trusted and well-governed data foundations.
Experience with data contracts, self-service analytics platforms, and modern data governance approaches.
Familiarity with cloud data technologies such as BigQuery, Snowflake, Databricks, or equivalent.

Skills

SQL
dbt
Data Modeling
Transformation Pipelines
Data Products
Data Quality
Observability
Data Lineage
Data Governance
Semantic Layers
Business Metrics
Cloud Data Platforms
Analytics Ecosystems
Communication
Influencing
People Leadership
Coaching
Performance Management
Talent Development
AI
Machine Learning
Data Contracts
Self-Service Analytics
BigQuery
Snowflake
Databricks

Location

Hybrid
London
Peterborough

Work Type

Hybrid

Experience Level

Manager

About the Company

Compare the Market is a purpose-driven business powered by tech and AI.
We are building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace.
Every role here plays a part in driving our mission forward.
We create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment.
We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.

Equal Opportunity

We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.