Full job descriptionAnalytics 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.