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- Tasks: Lead data transformation and analytics for the insurance sector, driving strategic success.
- Company: Allianz is a global leader in insurance and asset management, committed to employee growth and empowerment.
- Benefits: Enjoy a diverse workplace, remote work options, and opportunities for personal and professional development.
- Why this job: Be part of a transformative team that shapes the future of insurance with innovative data solutions.
- Qualifications: Experience in Data Engineering, strong programming skills in Python and SQL, and excellent communication abilities.
- Other info: Join a company that values diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ 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
Familiarise yourself with the Databricks platform, as it's a key part of the role. Consider taking online courses or tutorials to get hands-on experience, which will help you stand out during discussions with our team.
✨Tip Number 2
Showcase your stakeholder management skills by preparing examples of how you've successfully collaborated with different teams in previous roles. This will demonstrate your ability to cultivate relationships and drive initiatives forward.
✨Tip Number 3
Brush up on your Python and SQL programming skills, as these are essential for the position. You might want to work on personal projects or contribute to open-source projects to showcase your coding abilities.
✨Tip Number 4
Prepare to discuss your experience with automation and CI/CD pipelines. Think of specific instances where you've implemented these practices, as this will highlight your technical leadership capabilities and problem-solving skills.
We think you need these skills to ace Data Engineering Manager (Pricing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly within the insurance sector. Emphasise your programming skills in Python and SQL, as well as any experience with Databricks.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your background aligns with Allianz's goals. Mention specific projects or achievements that demonstrate your ability to drive transformation and manage data teams.
Showcase Stakeholder Management Skills: Provide examples of how you've successfully managed relationships with stakeholders in previous roles. This is crucial for the Data Engineering Manager position, so highlight your communication and collaboration skills.
Highlight Analytical Skills: Demonstrate your analytical capabilities by discussing complex data structures you've worked with. Include any experience in creating reports, tools, or dashboards that have informed decision-making in your past roles.
How to prepare for a job interview at Allianz Popular SL.
✨Showcase Your Data Engineering Experience
Make sure to highlight your experience in data engineering, especially within the insurance sector. Be prepared to discuss specific projects where you've applied your skills in Python and SQL, and how these contributed to business outcomes.
✨Demonstrate Stakeholder Management Skills
Since this role involves managing relationships with various stakeholders, be ready to share examples of how you've successfully collaborated with different teams. Discuss any challenges you faced and how you overcame them to achieve alignment on data initiatives.
✨Prepare for Technical Questions
Expect technical questions related to data engineering practices, particularly around Databricks and ETL processes. Brush up on your knowledge of automation and CI/CD pipelines, as well as how you would approach building a robust data infrastructure.
✨Communicate Complex Ideas Simply
Given the need to present complex analytics to senior management, practice explaining intricate concepts in a straightforward manner. Use examples from your past experiences to illustrate how you can make data-driven insights accessible to non-experts.
