Senior Data Engineer (Mlops Engineer) in Bristol

Senior Data Engineer (Mlops Engineer) in Bristol

Bristol Full-Time 60000 - 60000 £ / year (est.) Home office (partial)
Allianz Management Services Ltd

At a Glance

  • Tasks: Build and maintain cutting-edge data and machine-learning systems for impactful business decisions.
  • Company: Join a leading insurance brand with a commitment to innovation and inclusivity.
  • Benefits: Enjoy flexible working, competitive salary, and a range of perks tailored for you.
  • Other info: Hybrid role with excellent career growth opportunities and a supportive, inclusive culture.
  • Why this job: Make a real difference in a dynamic environment while developing your skills in cloud and data engineering.
  • Qualifications: Experience in deploying production services, cloud infrastructure, 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 our small stream‑aligned agile team, working closely with domain experts to understand business needs and deliver high‑impact solutions.

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.

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.
  • 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

  • Experience deploying, monitoring and maintaining production services.
  • 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.
  • CI/CD Automation: Experience with Azure DevOps or GitHub Actions, automated testing, packaging, and deployment processes.
  • Data Engineering Experience: Proficient SQL; familiarity with PySpark is beneficial, dbt, Microsoft Fabric, SQLMesh.
  • 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.

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.

If you are an at‑risk candidate facing potential redeployment, please include this information in your CV.

Closing date: 11/08/26. We reserve the right to close the advert early if we reach enough applications.

Join us - Let’s Care for Tomorrow.

Senior Data Engineer (Mlops Engineer) in Bristol employer: Allianz Management Services Ltd

Allianz is an excellent employer, offering a supportive work culture that prioritises employee development and well-being. With a hybrid working pattern and the provision of a company car, employees enjoy flexibility while engaging in meaningful work that impacts various industries across the UK, including Banbury. The comprehensive induction programme and ongoing training opportunities ensure that team members can grow their skills and advance their careers within a dynamic environment.

Allianz Management Services Ltd

Contact Details:

Allianz Management Services Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer (Mlops Engineer) in Bristol

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Allianz Management Services Ltd!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer (Mlops Engineer) at Allianz Management Services Ltd.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Allianz Management Services Ltd.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer (Mlops Engineer) at Allianz Management Services Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Engineer (Mlops Engineer) in Bristol

SQL
Python
Data Engineering
Problem-Solving Skills
Data Pipeline Development
API Integration
Automation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Allianz Management Services Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Allianz Management Services Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Allianz Management Services Ltd

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Allianz Management Services Ltd!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.