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- Tasks: Lead data transformation and analytics for the insurance sector, driving strategic success.
- Company: Join Allianz, a trusted global leader in insurance and asset management.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact by shaping data-driven decisions in a dynamic environment.
- Qualifications: Experience in data engineering, programming skills in Python and SQL, and strong stakeholder management.
- Other info: Be part of a diverse team that values your unique perspective and fosters innovation.
The predicted salary is between 70000 - 90000 £ per year.
This is a key role within our Transformation function which sits within Underwriting. This is a unique opportunity to work within a team that is driving change within the commercial front end of the insurance business. The role will oversee a centralized data analytics centre for the commercial and technical areas, providing consolidated, granular, accurate data analysis working closely and in tandem with the Data Science and Data Program Managers.
RESPONSIBILITIES
- Drive the transformation of Allianz’s data analytics environment, ensuring alignment with the Underwriting function’s strategic objectives and overall business goals.
- Maintain and enhance data and reporting frameworks that support Pricing processes, enabling data-driven decision-making and commercial market success.
- Cultivate and manage relationships with Group stakeholders to advance Technical Excellence initiatives for Underwriting data and reporting.
- Establish and deliver a clear roadmap for the creation of a robust data engineering infrastructure aimed at ensuring commercial and strategic success for the business.
- Lead the Underwriting UAT of the policy and claims administration systems data to be delivered as part of a key strategic program.
- Technical leader for the development and delivery of the new Underwriting Datamart based on Databricks platform.
- Champion the adoption of Cloud computing for Underwriting, driving seamless integration and best practices.
- Develop and maintain automated ETL pipelines to increase efficiencies within the target operating model (TOM).
- Collaborate with Data Science and Data Program Manager to create, maintain, and enhance reports, tools, datasets, and dashboards.
- Present complex analytics to senior management in a clear, actionable format that informs decision-making.
- Identify gaps in existing analytics, translating business needs into innovative solutions that address deficiencies.
- Embed data engineering best practices, promoting continuous improvement of Allianz’s processes and procedures.
REQUIREMENTS
- Experience of the application of Data Engineering within the Insurance sector (could be a data focussed Actuary going down the Data Engineering route or Data Engineer with commercial insurance experience).
- Experience of managing data teams and/or projects with strong stakeholder management skills.
- Programming experience essential with direct exposure to Python and SQL.
- An understanding and experience of the Databricks platform desirable.
- Experience of working with, and knowledge of, Data Science practices desirable.
- Experience of automation and CI/CD pipelines desirable.
- Self-starter and resolves complex problems without direct supervision.
- Ability to balance business requirements with simplicity in solutions.
- Possessing consulting, organizational transformation and/or change management experience.
- Experience in working cross functionally and collaboratively with others.
- Excellent communication skills, with the ability to explain complicated processes and concepts to non-experts.
- Excellent analytical skills (capable of understanding complex data structures, organize and structure data extracts).
- High attention to detail including a commitment to accuracy of work.
- Honesty and Integrity.
- Exceptional academic background in Maths and IT from top tier university.
Data Engineering Manager (Pricing) employer: Allianz Popular SL.
Contact Detail:
Allianz Popular SL. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (Pricing)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Allianz. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data engineering projects. This is your chance to demonstrate how you've tackled complex problems and delivered results.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. Think about how you've used Python, SQL, or Databricks in past roles and be prepared to explain your thought process clearly.
✨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 genuinely interested in joining our team at Allianz.
We think you need these skills to ace Data Engineering Manager (Pricing)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data engineering, especially within the insurance sector. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: Since programming is essential for this role, be sure to mention your experience with Python and SQL prominently. If you’ve worked with Databricks or have automation experience, let us know – we love seeing those skills in action!
Highlight Stakeholder Management: This role involves a lot of collaboration, so share examples of how you've successfully managed relationships with stakeholders in the past. We’re looking for someone who can communicate complex ideas clearly, so any relevant experiences will help us see your fit.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Allianz!
How to prepare for a job interview at Allianz Popular SL.
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge, especially in the context of the insurance sector. Be ready to discuss your experience with Python, SQL, and Databricks, as well as how you've applied these skills in real-world scenarios.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead teams and manage projects. Prepare examples of how you've successfully managed stakeholders and driven change in previous roles, highlighting your communication and organisational transformation skills.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data analytics frameworks and ETL pipelines. Brush up on best practices in data engineering and be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with non-experts.
✨Align with Business Goals
Understand Allianz's strategic objectives and think about how your role can contribute to them. Be prepared to discuss how you've previously aligned data initiatives with business goals, showcasing your ability to balance technical solutions with commercial success.