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.