Lead Data Engineer (MLOps)
Allianz UKBristol, England, United Kingdom
Added 19 Aug · still live
Not disclosed
Salary
Not disclosed by employer
£54,900
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
Our predicted code SOC 2133 (67% match) is an eligible occupation, with a going rate of £54,900, and Allianz UK is a licensed sponsor. That is our reading of the published rules. Whether they issue a Certificate of Sponsorship is still their call.
About the role
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
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)
- Azure
- Python, SQL, dbt
- Kubernetes
- Docker
- Terraform
- Databricks
- Azure DevOps / GitHub
- 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
- Responsible Artificial Intelligence usage
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
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.
Contact our Resourcing team to opt into this scheme or for any assistance with during the recruitment process including larger text, hard copies, or spoken applications. Hr-recruitment@allianz.co.uk
For any inquiries or to submit your application, please contact: Matthew Mckevitt
If you are an at-risk candidate facing potential redeployment, please include this information in your CV.
Closing date 02/09/26
We reserve the right to close the advert early if we reach enough applications.
101036 | Data & AI | Professional | Non-Executive | Allianz UK | Full-Time | Permanent
Join us - Let’s Care for Tomorrow.
Closing date 02/09/26
We reserve the right to close the advert early if we reach enough applications.
101036 | Data & AI | Professional | Non-Executive | Allianz UK | Full-Time | Permanent
Join us - Let’s Care for Tomorrow.
This description is the source posting as it read when we added it. We are not affiliated with Allianz UK, so check their own site for the current details.
Where this offer sits in the market
SOC 2133 · UK · ONS ASHE 2025 · ~163k in sampleP25 £46kP75 £82k
£36kmedian £60kgoing rate £55k£100k
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Does this job guarantee visa sponsorship?
Not necessarily. Allianz UK holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 2133 going rate of £54,900. New-entrant and shortage discounts can lower it.