Senior Data Engineer; MLOps Engineer

Role Description

As a Senior Data Engineer, you will play a key role in building and maintaining production‑ready data and machine‑learning systems that support critical business decisions. You’ll work across the full lifecycle, from engaging with stakeholders and shaping data/model outputs, to deploying and maintaining real‑time services in a cloud environment.

A significant part of this role involves developing and evolving our cloud‑based infrastructure, including containerised applications, automated deployment pipelines, and infrastructure‑as‑code. You’ll also help shape engineering best practices and support the growth of modern, scalable data platforms.

You’ll join one of our small stream‑aligned agile teams, working closely with domain experts to understand business needs and deliver high‑impact solutions. Teams rotate gradually to broaden your exposure to new data challenges and technical domains.

This role is hybrid, with the option to work from our London, Bristol, or Bournemouth offices. You’ll be required to attend the office two days per month.

Pay:
Circa £60,000 per annum, dependent on experience, skills, and location.
Salary is one part of our wider total reward package.

• Design, build, and operate production‑level data and machine‑learning services, including real‑time API endpoints that serve 10 million+ requests daily
• Build and deploy, orchestrate Docker containers, optimizing for performance and resource utilisation
• Design, build and maintain cloud R&D solutions using IaC tools like Terraform
• Build, improve and maintain monitoring systems to track model performance, infrastructure health and ensure reliability, scalability, and security of ML systems
• Develop CI/CD processes to help automate workflows using tools like Azure Dev Ops
• Write high‑quality, well‑tested Python for production‑grade data pipelines and services
• Deliver data extracts, transformations, and features to support modelling and analytics
• Work within an agile workflow, managing your own tickets and collaborating with team members and across disciplines to deliver products; communicate technical decisions and findings to both technical and non‑technical audiences
• Take time to stay up to date with the newest cloud and data tech as you contribute to continuous improvement across cloud tooling, engineering standards, and platform development

• Experience deploying, monitoring and maintaining production services

• Azure Dev Ops or Git Hub Actions
• Automated testing, packaging, and deployment processes

• Cloud & Infrastructure Engineering: build or support cloud infrastructure for data or predictive services, ideally including Terraform, Azure (preferred) or other public cloud platforms, scalable secure service patterns, CI/CD automation
• Containerisation (Docker) & Service orchestration (Kubernetes or similar)
• Managing and maintaining real‑time endpoints or APIs
• Automated deployment into production environments

• Not exclusively ETL – blend with cloud + CI/CD experience
• Proficient SQL; familiarity with PySpark is beneficial
• dbt, Microsoft Fabric, SQLMesh
• Strong Python with good documentation and unit testing practices
• Comfortable in an agile delivery environment
• Able to communicate clearly with non‑technical teams
• Demonstrates curiosity, continuous learning, and a collaborative mindset

• Understanding of GDPR and data governance
• Experience in insurance or financial services
• Familiarity with LLMs (e.g., GPT, OpenAI)
• Knowledge of infrastructure monitoring, backup, or disaster recovery

• Flexible buy/sell holiday options
• Hybrid working
• Annual performance related bonus
• Contributory pension scheme
• Development days
• A discount up to 50% on a range of insurance products including car, home and pet
• Retail discounts
• Volunteering days

We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim is to help innovation, creativity, and you to thrive – your work life balance is important to…