Senior Data Engineer (MLOps Engineer)

Allianz; City Of London; Hybrid; GBP 52,000 - 72,000; Full time

Benefits offered by this job

Flexible benefits

Hybrid working

Annual performance bonus

Pension scheme

Development days

Discounts on insurance products

Volunteering days

Job summary

Allianz is seeking a Senior Data Engineer to design, build and run production-grade data and ML services in a cloud-based, hybrid environment. You will develop real-time APIs, containerised workloads, and IaC-driven infrastructure, collaborating with domain experts to deliver scalable data platforms.

The role emphasizes Python development, CI/CD, and monitoring to ensure reliability, security, and performance. A strong focus on GDPR, agile delivery, and continuous learning is expected.

Qualifications

• Hands-on experience deploying, monitoring, and maintaining production services.
• Proficient in containerisation and orchestration (Docker, Kubernetes).
• Experience with Terraform and Azure DevOps or GitHub Actions.
• Strong Python and SQL skills with testing practices.
• Familiarity with GDPR and data governance is desirable.

Responsibilities

• Design, build, and operate production-level data and ML services for real-time APIs.
• Build, deploy, and orchestrate Docker containers for performance.
• Develop cloud solutions using IaC tools like Terraform.
• Maintain monitoring for model performance and infrastructure health.
• Create CI/CD pipelines using Azure DevOps.
• Write high-quality Python for data pipelines.
• Deliver data extracts, transformations, and features for analytics.
• Work in an agile team and communicate decisions clearly.
• Stay up to date with cloud and data tech to improve tooling.

Skills

Python

SQL

PySpark

Documentation

Testing

Tools

Docker

Kubernetes

Terraform

Azure DevOps

GitHub Actions

Job 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 our small stream-aligned agile team, working closely with domain experts to understand business needs and deliver high-impact solutions.

Location:

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.

Salary Information

Pay: Circa £60,000 per annum, dependent on experience, skills, and location.

Salary is one part of our wider total reward package.

What You'll Do

• 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 and orchestrate docker containers, optimizing for performance and resource utilization
• Design, build and maintain cloud R&D solutions using IaC tools like Terraform
• Building, improving and maintaining monitoring systems to track model performance, infrastructure health and ensure reliability, scalability, and security of ML systems
• Develop CICD processes to help automate workflows using tools like Azure DevOps
• 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.
• Taking 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.

About You (What We're Looking For)

Essential Skills

1. Experience deploying, monitoring and maintaining production services

We're looking for engineers who have worked hands‑on with:

• Containerisation (Docker) & Service orchestration (Kubernetes or similar)
• Managing and maintaining real-time endpoints or APIs
• Automated deployment into production environments

This is the most important area of experience for this role.

2. Cloud & Infrastructure Engineering

Experience building or supporting cloud infrastructure for data or predictive services, ideally including:

• Terraform (highly desirable)
• Azure (preferred), or other public cloud platforms
• Infrastructure patterns for scalable, secure services

3. CI/CD Automation

Experience with:

• Azure DevOps or GitHub Actions
• Automated testing, packaging, and deployment processes

CI/CD experience is valuable, but not sufficient on its own without cloud or production‑deployment exposure.

4. Data Engineering Experience

We are not looking for profiles focused only on ETL.

However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as:

• Proficient SQL; familiarity with PySpark is beneficial
• dbt
• Microsoft Fabric
• SQLMesh

5. Core Engineering Skills

• 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

Desirable Skills

• 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

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.

Integrity, Fairness, Inclusion & Trust

At Allianz, we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities, gender equity, and balanced gender representation, is demonstrated by our numerous accreditations: EDGE certified for gender inclusion, Women in Finance Charter members, Disability Confident employer, Stonewall Diversity Champion, Business in the Community's Race at Work Charter signatories, and Armed Forces Covenant gold standard employer.

We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success.

We encourage our employees to advocate for their needs, whether it's assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements

Accessible Application for All

As part of the Disability Confident Scheme, we support candidates with disabilities or long‑term health conditions through the Offer an Interview Scheme, for those meeting the essential skills for the role.

Closing date: 19/08/26

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

Join us - Let's Care for Tomorrow.