Head of Analytics Engineering

Xcede; Greater London; Hybrid; GBP 84,000 - 140,000; Full time

Benefits offered by this job

Equity/options

Hybrid working model

Job summary

Xcede is seeking a Head of Analytics Engineering to lead the evolution of its modern data platform and analytics capability in a fast-growing tech environment. You will own analytics engineering, drive scalable data transformation and semantic modelling, and oversee data products used by product, operations and leadership teams.

The role combines technical strategy, platform direction and people leadership, in a collaborative, AI-driven environment focused on real-time decision-making.

Qualifications

• Experience leading Analytics Engineering or Data Platform teams in modern cloud environments.
• Hands-on knowledge of dbt, SQL and modern warehouse technologies.
• Comfortable operating as a player‑coach in highly technical teams.
• Strong understanding of scalable data architecture and data quality principles.
• Experience in high-growth or product-led businesses with clear stakeholder communication.

Responsibilities

• Define and execute the roadmap for analytics engineering and data modelling.
• Lead and mentor a team of Analytics Engineers.
• Drive best practices across data modelling, testing, governance and observability.
• Partner with software engineering and product teams to improve upstream data quality.
• Build scalable self-serve analytics capabilities for business users.
• Support evolution of real-time and event-driven data architecture.
• Ensure the platform supports advanced analytics and AI use cases.
• Act as a senior stakeholder across technology and business functions.

Skills

Analytics leadership

dbt

SQL

Cloud data platforms

Cross-functional communication

Tools

dbt

Modern data warehouse

Job description

A rapidly scaling technology business is looking for a Head of Analytics Engineering to lead the evolution of its modern data platform and analytics capability.

Operating in a highly data-intensive environment, the company is investing heavily in the systems, tooling, and infrastructure that support real-time operational and commercial decision-making. This is a key leadership hire with significant visibility across the business.

You’ll take ownership of the analytics engineering function, overseeing the development of scalable transformation frameworks, semantic modelling, and data products used across product, operations, and leadership teams. The role will combine technical strategy, platform direction, and people leadership.

The environment is fast-paced and highly collaborative, with a strong engineering culture and a genuine appetite for leveraging automation and AI-driven workflows to improve how data is consumed across the organisation.

Responsibilities

• Define and execute the roadmap for the analytics engineering and data modelling function
• Lead and mentor a team of experienced Analytics Engineers
• Drive best practices across data modelling, testing, governance, and observability
• Partner closely with software engineering and product teams to improve upstream data quality
• Build scalable self-serve analytics capabilities for business users
• Support the evolution of real-time and event-driven data architecture
• Ensure the platform is robust enough to support advanced analytics and AI use cases
• Act as a senior stakeholder across technology and business functions

Ideal Background

• Experience leading Analytics Engineering or Data Platform teams in modern cloud environments
• Strong hands‑on knowledge of tools such as dbt, SQL, and modern warehouse technologies
• Comfortable operating as a player‑coach in highly technical teams
• Strong understanding of scalable data architecture and data quality principles
• Experience working in high‑growth or product‑led businesses
• Excellent communication skills with both technical and non‑technical stakeholders

Package

• Up to £140,000 base salary
• Equity/options
• Hybrid working model with 4 days per week in the London office