Senior Analytics Engineer

Voy; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

Voy’s Data team seeks a senior analytics engineer to model raw data and turn it into production-ready tables for stakeholders and AI products that underpin critical decisions across the business. You will help shape data standards and governance while ensuring the data stack scales for AI-driven initiatives.

You’ll work with BigQuery, dbt and Looker to deliver trustworthy data for analytics and patient-facing AI tools, collaborating with cross-functional teams to translate business needs into

Qualifications

• 3+ years of experience in analytics engineering or data engineering.
• Advanced SQL skills with the ability to design, optimize and debug complex queries.
• Experience contributing to AI/ML workflows or feature stores is a plus.
• Experience building scalable, well-structured data models in modern data stacks.

Responsibilities

• Architect, model and optimise the core data models powering analytics and AI applications.
• Ensure the data layer supports AI/LLM use cases, including feature pipelines and evaluation datasets.
• Partner with cross-functional teams to translate business requirements into robust technical solutions.
• Own data governance of your data models, ensuring integrity, consistency and security with thorough documentation.
• Shape our data culture by driving adoption of rigorous modelling frameworks and analytical standards.
• Identify opportunities to improve performance, reliability and usability of the data stack and own those improvements.

Skills

Advanced SQL

Analytical thinking

Collaborative mindset

Tools

dbt

Dataform

BigQuery

Looker

Job description

You will join our Data team as a senior analytics engineer modelling raw data and turning it into production ready tables for stakeholders and AI products that underpin the decisions that shape our business. This is a high-impact role at the heart of a fast-growing healthcare scale-up — one where the data you model and the standards you set will directly influence how every team in the company operates, and how well our AI-powered products perform.

You'll work closely with data and business stakeholders. You will be the bridge between raw data and meaningful insight, ensuring our modern data stack — built on BigQuery, dbt and Looker — is scalable, trusted and AI-ready. Your work will underpin both the analytical decisions of our internal teams and the performance of the patient-facing AI tools we build.

You'll have genuine ownership over the data models and governance practices that underpin our data function. At a company growing as fast as ours, the standards you establish today will shape how we scale tomorrow — across products, markets and millions of patient interactions.

What You'll Do

• Architect, model and optimise the core data models that power analytics and AI applications across the business, building for scale and performance from the ground up.
• Ensure the data layer is structured to support AI and LLM use cases — including feature pipelines, evaluation datasets and the clean, well-documented data that reliable AI products depend on.
• Partner with cross-functional teams across marketing, finance, operations and product to translate business requirements into robust, reliable technical solutions.
• Own data governance of the data models you own — ensuring integrity, consistency and security while maintaining documentation and enforcing best practices.
• Shape our data culture, driving adoption of rigorous modeling frameworks and analytical standards.
• Identify opportunities to improve the performance, reliability and usability of our data stack, and take full ownership of seeing those improvements through.

Who You Are

AI & LLM awareness priority

• A working understanding of how AI and LLM-powered products consume data — including familiarity with feature engineering, evaluation pipelines and the data quality standards these systems require.
• Experience contributing to or supporting AI/ML workflows, whether through building feature stores, curating training data, or structuring outputs for model consumption.

Technical expertise

• 3+ years of experience in analytics engineering, data engineering or a closely related role.
• Advanced SQL skills — you can design, optimise and debug complex queries with confidence.
• Hands-on experience with dbt or Dataform, and a strong track record of building scalable, well-structured data models.
• Comfortable working within a modern data stack; direct experience with BigQuery and Looker is a strong advantage.

Analytical acumen

• Strong understanding of measurement approaches, data analysis and statistics — you think carefully about what a metric actually means before you build it.
• Able to hold both the technical and business context simultaneously, ensuring every data solution is anchored to a real company objective.
• Experienced in data governance, quality assurance and documentation — you understand that trusted data is the product.

How you work

• A natural collaborator who can earn the trust of both data analysts and non-technical stakeholders alike.
• Takes ownership end-to-end — from understanding a business problem to delivering a solution the whole company can rely on.
• Excited by the challenge of building in a fast-paced environment and motivated by the idea that your work helps improve patient outcomes at scale.
• Someone who resonates with ownership, strategic thinking and the pace of a high-growth scale-up.