Analytics Engineer

Analytics Engineer

London (3 days hybrid) | £80,000 + Bonus + Benefits
No sponsorship offered

This is an excellent opportunity for an Analytics Engineer to join a highly data-driven business where analytics sits at the centre of commercial decision-making. You'll play a key role in shaping trusted, scalable data models used across analytics, reporting, and emerging AI-powered solutions, while working closely with technical stakeholders in a collaborative and fast-paced environment.

The Company

This organisation is a well-established international business with a strong digital and technology focus. They operate at significant scale, generating large volumes of customer and operational data that support decision-making across multiple functions.
With continued investment in data and analytics, they have built a mature analytics function that is focused on driving business impact through trusted, accessible data. Their culture combines the stability of an established organisation with the pace and agility of a modern technology-led business.

The Role

As an Analytics Engineer, you will focus on building and maintaining the analytical data layer that supports reporting, self-service analytics, and AI-enabled use cases. Working alongside Data Engineering and Analytics teams, you will help ensure data is reliable, scalable, and easy to consume.

Key responsibilities include:

• Building and maintaining analytical data models using dbt and SQL.
• Developing and optimising ELT/ETL processes to support analytics use cases.
• Collaborating with Data Engineering teams to prepare and model data for analytical consumption.
• Supporting and enhancing Looker environments, including LookML development.
• Implementing data quality checks, testing, monitoring, and documentation.
• Contributing to wider analytics projects that support business growth and product innovation.
• Identifying opportunities for automation and process improvement.
• Supporting the development of AI-enabled analytics capabilities and improving how contextual data is maintained for analytics tools and chatbots.

Your Skills & Experience

Essential requirements:

• Strong SQL skills with experience building production-grade data models.
• Hands-on experience with dbt.
• Experience designing and maintaining ELT/ETL pipelines.
• Strong experience with Looker and LookML.
• Understanding of data modelling best practices and analytics-focused data architecture.
• Experience working closely with both technical and non-technical stakeholders.
• Google Cloud Platform.
• Airflow, Cloud Composer, or equivalent orchestration tooling.
• Experience supporting AI, conversational analytics, or analytics chatbot solutions.
• Python for automation and data workflows.

What They Offer

• Salary up to £80,000 plus bonus
• Comprehensive benefits package.
• Hybrid working with three days in the office.
• Clear opportunities for career development and progression.
• The chance to influence data standards, modelling practices, and the future direction of analytics engineering within the business.
• Exposure to large-scale datasets, modern cloud technologies, and innovative AI-enabled analytics initiatives.

How to Apply

If you're an Analytics Engineer with strong dbt, SQL, and Looker experience and are looking for an opportunity to have a genuine impact within a growing data function, I'd love to hear from you. Apply today to find out more.