At a Glance
- Tasks: Design and maintain cutting-edge data and machine-learning systems for impactful business decisions.
- Company: Join Allianz Commercial, a leader in inclusivity and innovation.
- Benefits: Flexible working, competitive salary, and extensive career development opportunities.
- Other info: Enjoy hybrid work options and a culture that values work-life balance.
- Why this job: Make a real impact with your skills in a dynamic, supportive environment.
- Qualifications: Strong Python skills and experience in agile environments are essential.
The predicted salary is between 60000 - 60000 £ per year.
This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
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 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.
Senior Data Engineer (MLOps Engineer) employer: Allianz Commercial
Allianz Commercial is an exceptional employer that champions inclusivity and offers a dynamic work culture, particularly for those in the Senior Data Engineer role. With flexible working options, a strong focus on employee development, and a commitment to work-life balance, employees can thrive in a supportive environment while contributing to impactful projects. The opportunity to engage with diverse teams across multiple locations, including London, Bristol, and Bournemouth, further enhances the appeal of joining this leading insurance brand.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (MLOps Engineer)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Allianz or similar companies. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the company’s culture. Research Allianz's projects and values so you can show how you fit into their team and contribute to their goals.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications through our website. A quick message expressing your enthusiasm can set you apart from other candidates and shows you're genuinely interested.
✨Tip Number 4
Practice makes perfect! Conduct mock interviews with friends or use online resources to get comfortable discussing your experience and skills. The more you practice, the more confident you'll feel when it counts.
We think you need these skills to ace Senior Data Engineer (MLOps Engineer)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with cloud-based infrastructure, containerised applications, and any relevant projects that showcase your skills in Python and MLOps.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at Allianz. Don’t forget to mention your collaborative mindset and curiosity!
Showcase Your Technical Skills:Be specific about your technical skills in your application. Mention your familiarity with tools like PySpark, dbt, and SQLMesh. We want to see how you can contribute to building and maintaining our data systems.
Apply Through Our Website:We encourage you to apply through our website for the best chance of success. It helps us keep track of your application and ensures you’re considered for this exciting opportunity with Allianz!
How to prepare for a job interview at Allianz Commercial
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Docker, and cloud services. Brush up on your knowledge of MLOps practices and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data challenges in previous roles. Think about times when you had to engage with stakeholders or adapt to new technical domains, as this will demonstrate your ability to work collaboratively and think critically.
✨Understand the Business Context
Familiarise yourself with Allianz Commercial and its role in the insurance sector. Being able to articulate how your work as a Senior Data Engineer can impact business decisions will show that you’re not just technically skilled but also business-savvy.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the agile processes they use, and how they measure success in their projects. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
