At a Glance
- Tasks: Design and build cutting-edge data and machine-learning systems for impactful business decisions.
- Company: Join Allianz, a global leader in insurance with a focus on innovation and inclusivity.
- Benefits: Enjoy flexible working, competitive salary, performance bonuses, and extensive career development opportunities.
- Other info: Hybrid work model with a commitment to diversity and inclusion.
- Why this job: Make a real difference by shaping the future of data technology in a collaborative environment.
- Qualifications: Experience in cloud infrastructure, CI/CD automation, and strong Python skills are essential.
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.
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)
- Experience deploying, monitoring and maintaining production services.
- Experience with Containerisation (Docker) & Service orchestration (Kubernetes or similar).
- Managing and maintaining real‑time endpoints or APIs.
- 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.
- CI/CD Automation experience with Azure DevOps or GitHub Actions.
- Automated testing, packaging, and deployment processes.
- Proficient SQL; familiarity with PySpark is beneficial.
- 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.
- 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.
- Annual performance related bonus.
- Contributory pension scheme.
- A discount up to 50% on a range of insurance products including car, home and pet.
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. Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.
Senior Data Engineer employer: The BDPN
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We think this is how you could land Senior Data Engineer
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We think you need these skills to ace Senior Data Engineer
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!
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How to prepare for a job interview at The BDPN
✨Brush Up on Your Statistics
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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.