Senior Data Engineer (Devops/Mlops)

Allianz Management Services Ltd; Greater London, West of England, Bournemouth; Hybrid; GBP 54,000 - 66,000; Full time

Benefits offered by this job

Hybrid working

Annual performance related bonus

Contributory pension scheme

Development days

Discounts on insurance products and a5

Job summary

Allianz UK Personal is seeking a Senior Data Engineer with MLOps expertise to design and operate cloud-based data pipelines and real-time ML services. You will deploy containerised applications, build scalable workflows, and collaborate with Azure specialists to deliver data products that drive business value.

The role is hybrid, with offices in London, Bristol or Bournemouth and an expectation to come into the office two days per month.

Qualifications

• 2+ years in Data/ML/Platform Engineering with MLOps experience.
• Proficient in Python and SQL.
• Experience deploying containerised apps and real-time ML services.

Responsibilities

• Design, build and deploy containerised real-time API endpoints for scalable ML products.
• Automate workflows with CI/CD processes.
• Develop processes and improve CI/CD, containerisation, monitoring, security and testing practices.
• Write high-quality Python code for production pipelines and services serving billions of requests annually.
• Deliver high-quality Data Science products to enhance MLOps.
• Collaborate with architects and stakeholders including Microsoft Azure experts.
• Design, build and enhance scalable data processing workflows.
• Champion Data Science and MLOps best practices across the business.
• Maintain data governance and comply with internal/external policies.

Skills

Data/ML/Platform Engineering

Python

SQL

DevOps

Tools

Azure

Kubernetes

Docker

Terraform

Databricks

Azure DevOps / GitHub

dbt

Job description

Senior Data Engineer (DevOps/MLOps)

Allianz UK Personal is looking for a Senior Data Engineer (DevOps/MLOps) to further enhance our MLOps capability.

Where and how you can work

This is a hybrid role at one of our offices in London, Bristol or Bournemouth and you’ll be required to come into the office two days per month.

Salary Information

Pay: Circa £60,000 per annum. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

About the team

You’ll join an agile, stream-aligned team, working with technical and business stakeholders to deliver Data Science & MLOps products that drive commercial value.

The team is ambitious – continuously raising the bar on what our products can deliver for the business and our customers.

About the Role

We’re looking for an experienced Senior Data Engineer with MLOps expertise.

In this key role, you’ll develop and evolve our cloud-based products and systems that support critical business processes. You’ll be deploying containerised applications and maintaining real-time ML services that serve billions of requests annually. You’ll be hands‑on writing high‑quality code, shaping architecture & MLOps processes, improving engineering practices and helping the team make good technical decisions.

Your Focus

• Design, build & deploy containerised applications as real-time API endpoints, optimising for performance and resource utilisation
• Automate workflows with CI/CD processes
• Develop processes and improve best practice across CI/CD, containerisation, monitoring, alerting, security and testing
• Write high quality, well-tested Python code for production pipelines and services that serve billions of requests annually
• Delivery of high-quality Data Science products that support & enhance our MLOps processes and add real value to the business
• Collaborate with business and technology teams, including architects and external experts from Microsoft Azure
• Design, build and enhance scalable processes and workflows
• Champion Data Science and MLOps best practice across the business
• Maintain data governance standards, ensuring compliance with internal policies and external regulations
• Proactively identify opportunities to improve how we work, challenge the status quo and drive positive change

Our Tech Stack

• Azure
• Python, SQL, dbt
• Kubernetes
• Docker
• Terraform
• Databricks
• Azure DevOps / GitHub

You should apply if:

• You’re excited to shape how Data Science is delivered at Allianz UK Personal
• You have 2+ years’ experience in a Data/ML/Platform Engineering role, with expertise in MLOps
• You’re confident programming in Python and SQL
• You have experience with Kubernetes and Docker
• You have hands‑on experience using cloud services (such as Azure, AWS or GCP) to design & build ML products, pipelines and platforms
• You’re able to design simple solutions that solve complex business problems
• You understand the software development life cycle, DevOps and MLOps methodologies to ensure continuous integration, testing and deployment of data and model pipelines
• You’re comfortable dealing with ambiguity and challenging the status quoYou’re able to build relationships and connect with technical & business stakeholders
• You’re able to explain complex technical subjects to non‑technical stakeholders
• You’re familiar with data protection, consumer duty and other relevant legislation

Desirable Skills

• Responsible Artificial Intelligence usage

What We Will Offer You

Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that’s perfect for you. We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training. That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including:

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

Our Ways of Working

Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here at Allianz, we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us.

Inclusive Support & Accessibility

At Allianz, we are committed to fostering building an inclusive, accessible workplace where everyone can thrive. As a Disability Confident employer, we welcome applications from disabled and neurodivergent candidates and offer tailored adjustments throughout the recruitment process and in the workplace, whether that’s assistive technology, ergonomic equipment, flexible working arrangements, mentoring or coaching. We want to encourage candidates to speak with us about any adjustments they may need. We’re here to support you.

If you have a disability or long‑term health condition and meet the essential criteria, you can choose to be considered through our Offer an Interview Scheme.

Closing date 15/10/26

We reserve the right to close the advert early if we reach enough applications.

#LI-Hybrid

Join us - Let’s Care for Tomorrow.

107390 | Data & AI | Professional | Non-Executive | Allianz UK | Full-Time | Permanent

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