Senior Analytics Engineer
Role details
Job location
Tech stack
Job description
As a Senior Analytics Engineer, you occupy a strategic technical position at the heart of our data ecosystem, reporting into the Head of Data Analytics Engineering. You will architect the transition from raw data infrastructure into Data Products. These products are well-modelled, documented, and governed. They serve as the organisation's single source of truth, powering Looker dashboards, advanced machine learning models in Vertex AI, and our latest conversational analytics platform., * Architecting High-Performance Models: You will design and deploy sophisticated data transformation pipelines using Dataform. You will lead the transition of raw data into curated, production-grade data products optimised for organisational scale and speed.
- Modernising Business Logic: You will lead the evolution of established business logic into modern, scalable SQL architectures. You will play a key role in codifying institutional knowledge into robust, modular code that supports Future's long-term growth.
- Strategic Technical Partnership: You will act as a consultative partner to BI, Data Engineering, and Data Science teams. You will translate high-level strategic requirements into structured data schemas, ensuring technical alignment and stakeholder consensus before development begins.
- Advancing Engineering Standards: You will champion and apply software engineering best practices to the analytics layer. This includes managing version control via GitLab, leading peer reviews, and enhancing our CI/CD workflows.
- End-to-End Delivery Leadership: You will own the full lifecycle of data product delivery. Operating with high autonomy, you will use Jira to orchestrate complex projects from initial discovery through to production, ensuring impact and transparency.
- Championing Data Trust: You will be the standard-setter for data excellence. By implementing automated testing frameworks and observability alerting, you will ensure our data products remain reliable and trusted by downstream users.
Enabling Data Lineage: You will build and maintain detailed documentation that illustrates data origin and transformation. Your work ensures that technical teams across the business can utilise our data assets independently and with confidence.
Requirements
- Previous experience within Analytics Engineering or a technical Data role, with a history of delivering end-to-end modelling projects in production environments (Experience in Digital Media is advantageous)
- Expert proficiency in SQL (BigQuery preferred), with a focus on performance optimisation and scalable logic.
- Hands-on experience with Dataform or dbt. You understand how to build data products specifically optimised for BI platforms like Looker and ML platforms like Vertex AI.
- A commitment to version control (GitLab), automated testing, and writing clean, documented code.
- Experience creating detailed technical documentation complex technical architectures to diverse audiences and a to managing project dependencies.
Benefits & conditions
The expected range for this role is £45,000-£55,000
This is a Hybrid role from our Bath Office, working three days from the office, two from home
… Plus more great perks, which include;
- Uncapped leave, because we trust you to manage your workload and time
- When we hit our targets, enjoy a share of our profits with a bonus
- Refer a friend and get rewarded when they join Future
- Well-being support with access to our Colleague Assistant Programmes
- Opportunity to purchase shares in Future, with our Share Incentive Plan
Internal job family level T5