Data Platform Engineer

Job Description

We're seeking a talented and motivated Data Platform Engineer to join our Data Platform and Engineering team. Our aim is to deliver a robust platform that enables Machine Learning and analytics to drive indemnity savings, efficiency benefits, and improved customer outcomes. We're focused on developing our data engineering capability so that machine learning and AI solutions can be developed and deployed internally in a sustainable way within claims analytics.

You'll have the opportunity to develop your skills in data orchestration, data governance, CI/CD, and MLOps. You'll also assist in the development of robust data pipelines, optimize data storage and retrieval, and contribute to the overall success of our data-driven initiatives.

At AXA, we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team, and our customers. You'll work at least 40% of your week away from home, moving to the majority of your working week from September 2025. Away from home means either attendance at one of our office locations, visiting clients, or attending industry events. We're also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.

What you'll be doing:

1. Design, build, and deploy data systems, pipelines, and applications; maintain current data pipelines.
2. Ingest data from a variety of sources, including relational databases and unstructured data such as text documents.
3. Operate in a fast-paced, iterative environment while remaining compliant with Information Security policies and Data Governance standards.
4. Collaborate with data analysts and data scientists to prepare data for analytical models.
5. Work closely with the business on problem scoping, infrastructure provisioning, execution, deployment, and maintenance to build a detailed knowledge of AXA data sources.
6. Transform the existing platform and pipelines to enable faster operation with activities like advanced orchestration (DAGs), data quality checks, catalogues, CI/CD, and MLOps.
7. Design reusable code and data assets using Software Engineering best practices and frameworks.
8. Build market-leading data engineering solutions and support the development of our cloud-based data assets for informed decision-making.

Due to high application volume, we may close this advert earlier than the listed date. If you're interested, apply promptly.

What you'll bring:

• Exceptional experience with PySpark.
• Practical experience with Azure Data Lake and Azure Databricks.
• Proficiency in Python and other programming languages.
• Knowledge of CI/CD and MLOps.
• Ability to understand and solve business challenges.
• Strong communication skills with users, technical teams, and management.
• Experience working with structured, semi-structured, and unstructured data.
• Experience in Insurance or Financial Services is advantageous.

Eligibility to work in the UK is a precondition for employment.

What we offer:

Our rewards package includes:

• Salary between £50,000 and £60,000 depending on experience
• Annual bonus based on company and individual performance
• Contributory pension scheme (up to 12%)
• Life Assurance (up to 10x salary)
• 25 days annual leave plus Bank Holidays
• Option to buy or sell up to 5 days leave
• Employee discounts and gym benefits

To apply, click the 'apply for this job' button, log in or create a profile, and submit your CV. We are an Equal Opportunities Employer and support accessibility needs. For adjustments, contact leanne.white@axa-insurance.co.uk.

Who we are:

AXA UK Support Functions provide the infrastructure and expertise to support our customer-facing units, helping us deliver excellent service and growth opportunities for our employees.

Salary:

£50,000 to £60,000 based on experience