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About the Role

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.

Responsibilities

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.

Requirements

Experience deploying, monitoring and maintaining production services
Hands-on experience with Containerisation (Docker) & Service orchestration (Kubernetes or similar)
Experience managing and maintaining real-time endpoints or APIs
Experience with Automated deployment into production environments
Experience building or supporting cloud infrastructure for data or predictive services
Experience with Terraform (highly desirable)
Experience with Azure (preferred), or other public cloud platforms
Experience with Infrastructure patterns for scalable, secure services
Experience with Azure DevOps or GitHub Actions
Experience with Automated testing, packaging, and deployment processes
Proficient SQL
Familiarity with PySpark is beneficial
Experience with dbt
Experience with Microsoft Fabric
Experience with SQLMesh
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
Understanding of GDPR and data governance (Desirable)
Experience in insurance or financial services (Desirable)
Familiarity with LLMs (e.g., GPT, OpenAI) (Desirable)
Knowledge of infrastructure monitoring, backup, or disaster recovery (Desirable)

Skills

Containerisation (Docker)
Service orchestration (Kubernetes or similar)
Real-time endpoints or APIs
Automated deployment
Cloud infrastructure
Terraform
Azure
Infrastructure patterns
CI/CD Automation
Azure DevOps
GitHub Actions
Automated testing
Packaging
Deployment processes
SQL
PySpark
dbt
Microsoft Fabric
SQLMesh
Python
Unit testing
Agile delivery
Communication
GDPR
Data governance
Insurance
Financial services
LLMs
GPT
OpenAI
Infrastructure monitoring
Backup
Disaster recovery

Location

London
Bristol
Bournemouth

Work Type

Hybrid
Full-time

Experience Level

Senior
Circa £60,000 per annum, dependent on experience, skills, and location

Salary/Compensations

Circa £60,000 per annum

Benefits

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
Flexible working options
Global career opportunities across the wider Allianz Group
Fantastic career development and training

About the Company

Allianz is the world's number one insurance brand.

Equal Opportunity

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
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.