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 and inclusion.
- Benefits: Enjoy flexible working, competitive salary, and a range of perks tailored for you.
- Other info: Hybrid role with opportunities for global career growth and professional development.
- Why this job: Make a real impact in data engineering while developing your career in a supportive environment.
- Qualifications: Hands-on data engineering experience and strong knowledge of MS Azure or Databricks required.
The predicted salary is between 68000 - 102000 £ 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 blue-prints 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.
Contact
For any inquiries or to submit your application, please contact: Matthew Irvine
Closing date: 26/03/2026. We reserve the right to close the advert early if we reach enough applications.
#LI-Hybrid Join us - Let's Care for Tomorrow.
Data Engineering Manager in Guildford employer: Allianz
Allianz is an exceptional employer that prioritises employee well-being and professional growth, offering a hybrid working model that promotes work-life balance. With a strong commitment to inclusivity and diversity, employees benefit from flexible working options, comprehensive training programmes, and a supportive culture that encourages innovation and collaboration. Located in Guildford, the company provides access to global career opportunities within the Allianz Group, making it an ideal place for those seeking meaningful and rewarding employment in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Guildford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at Allianz or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding of Agile methodologies. We recommend practising common data engineering scenarios and being ready to discuss your hands-on experience with tools like MS Azure or Databricks.
✨Tip Number 3
Showcase your leadership skills! As a Data Engineering Manager, you'll be managing teams. Be ready to share examples of how you've coached engineers or led projects in the past. This will help you stand out as a candidate who can drive success.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining Allianz and contributing to their mission of delivering top-notch data solutions.
We think you need these skills to ace Data Engineering Manager in Guildford
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 this role and how your experience can help us deliver top-notch data solutions. Keep it engaging and relevant!
Showcase Your Leadership Skills:Since this role involves managing a team, be sure to highlight your leadership experience. Share examples of how you've coached and supported engineers in the past, and how you can bring that to our squads.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Allianz
✨Know Your Data Engineering Basics
Make sure you brush up on your core data concepts and technologies, especially MS Azure Synapse or Databricks. Being able to discuss these confidently will show that you're not just a manager but also have the hands-on experience needed to lead your team effectively.
✨Showcase Your Agile Experience
Since this role involves working with multiple agile squads, be prepared to share specific examples of how you've successfully delivered data projects using Agile methodologies. Highlight your familiarity with tools like Jira, as this will demonstrate your ability to manage and report on squad delivery.
✨Prepare for Stakeholder Management Questions
Expect questions about how you've managed stakeholders in previous roles. Think of examples where you resolved conflicts or facilitated discussions between technical teams and business units. This will illustrate your ability to navigate complex organisational structures.
✨Emphasise Your Coaching Skills
As you'll be managing and coaching data engineers, be ready to discuss your approach to mentoring. Share specific instances where you've helped team members grow their skills or overcome challenges, showcasing your leadership style and commitment to team development.
