At a Glance
- Tasks: Lead data engineering teams to deliver high-quality data solutions and drive best practices.
- Company: Join Allianz, a global leader in insurance with a commitment to innovation.
- Benefits: Enjoy flexible working, competitive salary, and a range of perks tailored for you.
- Other info: Embrace a culture of inclusion and support for diverse talents.
- Why this job: Make an impact in a dynamic environment while developing your leadership skills.
- Qualifications: Hands-on data engineering experience and strong knowledge of MS Azure or Databricks required.
The predicted salary is between 85000 - 85000 € per year.
As a Data Engineering Manager in Allianz, you will work across a number of data engineering squads, ensuring teams are enabled to deliver data to our internal customers at the right quality and pace, and in line with best practice. You will work with a range of experts in Architecture and IT to help resolve risks and issues affecting data engineering delivery. This will be a hybrid role, with office expectation once a week in our Guildford office.
Salary Information
Pay: Circa £85,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.
About You
This role includes people management for 3 – 5 data engineers. In 2026 you will lead and support three strategies:
- Cross-skill and enable data delivery squads working in legacy platforms such as SAS, IBM and Oracle, to MS Azure, to enable eventual migration of use-cases and data to cloud.
- Lead the design, and roll-out of service excellence blueprints to drive consistency of data engineering best practice across squads, ensure pipeline resilience and cost-effectiveness.
- Set direction for colleagues in IT and Architecture to ensure design and implementation of data platform capabilities enables operational efficiency for data engineering activity.
You will be working across 3 – 4 agile squads, you will work with engineers and scrum masters to ensure delivery uses Data Engineering technical best practice, ensuring data product quality, and provide technical leadership as needed. Work with stakeholders to help resolve any issues that impact a DE squad from working effectively and efficiently. Support evaluation and estimation of new demand and requirements, facilitating workshops between data and engineering SMEs. Contribute to leadership discussions and decision-making including team formation, budgeting, approach to project delivery. Manage and coach several data engineers. Enable platform users. Co-ordinate and agree schedule and specification for IT-owned changes to infrastructure and apps, with impact analysis in delivery squads, including actions relating to vulnerabilities.
Essential Skills
- A background in hands-on data engineering. You will need to coach and support engineers directly.
- Strong knowledge of core data concepts and technologies is essential, ideally with MS Azure Synapse or Databricks.
- Experience delivering data or solutions to a range of customers with a strong value-orientation.
- Experience of full CI/CD cycle, and FinOps set-up and process optimisation.
- Experience delivering data projects and/or products, using an Agile methodology.
- Working in an Agile delivery environment with multiple squads delivering to a common goal.
- Use of Jira is essential to understand squad delivery.
- Insurance or Financial services data demand and usage experience would be useful.
- Stakeholder management and delivery reporting in a large/complex organisation.
- Line management and coaching experience with technical SMEs.
Desirable Skills
- Responsible Artificial Intelligence usage.
- Insurance or Financial services data demand and usage experience would be useful.
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.
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.
For any inquiries or to submit your application, please contact: Matthew Irvine
Closing date: 26/05/2026. We reserve the right to close the advert early if we reach enough applications.
Join us - Let’s Care for Tomorrow.
Data Engineering Manager employer: Allianz
Allianz is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible working environment and a comprehensive benefits package tailored to individual needs. With a strong commitment to diversity and inclusion, employees can thrive in a supportive culture while enjoying opportunities for career advancement within a globally recognised insurance brand. The Guildford office fosters collaboration among agile teams, ensuring that every team member contributes to meaningful projects that drive innovation and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at Allianz. A friendly chat can open doors and give you insights into the company culture and what they really value.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can discuss your hands-on experience with data engineering tools like MS Azure or Databricks. We want to see that you can lead and coach engineers effectively!
✨Tip Number 3
Showcase your leadership style! Be ready to talk about how you've managed teams in the past, especially in agile environments. We love candidates who can inspire and guide their squads towards success.
✨Tip Number 4
Don’t forget to highlight your problem-solving skills! Be prepared to share examples of how you've tackled challenges in data delivery. This will demonstrate your ability to support and enable your team effectively.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineering Manager role. Highlight your hands-on data engineering experience and any relevant projects you've led. We want to see how your skills align with our needs!
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 you can contribute to our teams. Be sure to mention your experience with Agile methodologies and CI/CD cycles.
Showcase Your Leadership Skills:Since this role involves managing a team, make sure to highlight your leadership experience. Share examples of how you've coached engineers or led projects to success. We love seeing how you can inspire others!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it's super easy!
How to prepare for a job interview at Allianz
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge, especially around MS Azure Synapse and Databricks. Be ready to discuss your hands-on experience and how you've applied core data concepts in previous roles.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll be managing teams. Prepare examples of how you've coached and supported engineers in the past. Highlight your experience in stakeholder management and how you've resolved issues affecting team performance.
✨Familiarise Yourself with Agile Methodologies
Since you'll be working across multiple agile squads, it’s crucial to demonstrate your understanding of Agile principles. Be prepared to discuss your experience with CI/CD cycles and how you've contributed to successful project deliveries using Agile methodologies.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data delivery and how you’ve implemented service excellence blueprints to drive consistency and efficiency in your teams.
