Lead Data Engineer (MLOps)

Allianz UK; Greater London; Hybrid; GBP 72,000 - 88,000; Full time

Benefits offered by this job

Flexible benefits

Hybrid working

Annual performance bonus

Pension scheme

Development days

Discounts on Allianz products

Job summary

Allianz UK Personal is seeking a Lead Data Engineer (MLOps) to shape our technical direction and drive cloud-based Data Science products. You will write production-grade Python, guide architecture, and improve deployment practices while mentoring a team of Data Engineers.

The role is hybrid with offices in London, Bristol or Bournemouth. You’ll work with Azure, Kubernetes, Docker and Databricks to deliver scalable ML/data solutions across the business.

Qualifications

• 5+ years’ experience in a Data/ML/Platform Engineering role with strong MLOps expertise.
• Proficient in Python and SQL programming.
• Experience with cloud services (Azure, AWS or GCP) and data/ML product delivery.
• Hands-on coding with scalable Data Science pipelines and platforms.

Responsibilities

• Define and drive adoption of MLOps standards across CI/CD, containerisation, monitoring and deployment.
• Write high-quality Python code for production pipelines serving billions of requests.
• Lead delivery and continuous improvement of Data Science products supporting MLOps processes.
• Mentor Data Engineers from graduate to senior levels.
• Collaborate with architects and external experts from Microsoft Azure.

Skills

MLOps

Python

SQL

Cloud services

Data engineering

Tools

Azure

Kubernetes

Docker

Terraform

Databricks

Azure DevOps / GitHub

Job description

Allianz UK Personal is looking for a Lead Data Engineer (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 £80,000 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 Lead Data Engineer with strong MLOps expertise.

In this key role, you’ll help define our technical direction, improve our engineering practices and lead the delivery of cloud-based Data Science products. You’ll also play an important role in developing and mentoring our talented Data Engineers. You’ll be hands‑on writing high-quality code, shaping architecture, improving deployment practices and helping the team make good technical decisions.

Your Focus

• Define and drive the adoption of MLOps standards across CI/CD, containerisation, monitoring, alerting, testing and deployment
• Write high quality, well‑tested Python code for production pipelines and services that serve billions of requests annually
• Lead the delivery and continuous improvement of high‑quality Data Science products that support & enhance our MLOps processes
• Implement best practices and build Data Science products that add real value to the business
• Mentor and develop Data Engineers (from graduate to senior levels)
• 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 5+ years’ experience in a Data/ML/Platform Engineering role, with strong expertise in MLOps
• You’re confident programming in Python and SQL
• You have experience with Kubernetes and Docker
• You’re a self‑starter, comfortable working hands‑on whilst also thinking strategically about the bigger picture
• 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 have an in-depth understanding of 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 quo
• You’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 days
• A 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 02/09/26

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

101036 | Data & AI | Professional | Non-Executive | Allianz UK | Full-Time | Permanent

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