At a Glance
- Tasks: Build and maintain cutting-edge data and machine-learning systems for impactful business decisions.
- Company: Join Allianz, a leader in innovation and inclusivity.
- Benefits: Enjoy flexible working, competitive salary, and discounts on insurance products.
- Other info: Embrace a culture of continuous learning and collaboration in an agile team.
- Why this job: Make a real difference with your skills in a dynamic, hybrid work environment.
- Qualifications: Experience in cloud infrastructure, data engineering, and strong Python skills required.
The predicted salary is between 60000 - 60000 £ per year.
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 one of our small stream‑aligned agile teams, working closely with domain experts to understand business needs and deliver high‑impact solutions. Teams rotate gradually to broaden your exposure to new data challenges and technical domains.
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, orchestrate Docker containers, optimising for performance and resource utilisation.
- Design, build and maintain cloud R&D solutions using IaC tools like Terraform.
- Build, improve and maintain monitoring systems to track model performance, infrastructure health and ensure reliability, scalability, and security of ML systems.
- Develop CI/CD 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.
- Take 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.
Essential Skills
- Experience deploying, monitoring and maintaining production services.
- Experience with Azure DevOps or GitHub Actions.
- Automated testing, packaging, and deployment processes.
- Core Cloud & Infrastructure Experience.
- Cloud & Infrastructure Engineering: build or support cloud infrastructure for data or predictive services, ideally including Terraform, Azure (preferred) or other public cloud platforms, scalable secure service patterns, CI/CD automation.
- Containerisation (Docker) & Service orchestration (Kubernetes or similar).
- Managing and maintaining real‑time endpoints or APIs.
Data Engineering Experience
- Not exclusively ETL – blend with cloud + CI/CD experience.
- Proficient SQL; familiarity with PySpark is beneficial.
- dbt, Microsoft Fabric, 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.
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
- 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
We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim 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. We commit to equal opportunities, gender equity, and balanced gender representation, and are certified for gender inclusion, women in finance, disability confident, Stonewall diversity champion, race at work charter signatories, and armed forces covenant gold standard employer. We embrace neurodiversity and welcome applications from neuro‑divergent and disabled candidates, offering tailored adjustments to support success.
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. Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.
Closing Date 26/06/26
Note: We reserve the right to close the advert early if we reach enough applications.
Senior Data Engineer (MLOps Engineer) in Almondsbury employer: Allianz UK
At Allianz, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With flexible hybrid working options, generous benefits including a contributory pension scheme and performance-related bonuses, and a strong commitment to employee development, we empower our team members to thrive both personally and professionally. Our inclusive culture embraces diversity and supports continuous learning, making Allianz a rewarding place to build your career as a Senior Data Engineer in vibrant locations like London, Bristol, or Bournemouth.
