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- Tasks: Lead data transformation and analytics for the insurance sector, driving strategic success.
- Company: Join Allianz, a trusted leader in insurance and asset management.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Diverse and inclusive workplace that values your unique perspective.
- Why this job: Make a real impact in a dynamic environment while shaping the future of insurance.
- Qualifications: Experience in data engineering, strong programming skills, and excellent communication.
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) in London 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) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data engineering space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, SQL, or Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex problems and collaborated with teams. We want to see your passion for data engineering shine through!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Allianz.
We think you need these skills to ace Data Engineering Manager (Pricing) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineering Manager. Highlight your experience in data engineering, especially within the insurance sector, and showcase any relevant projects or achievements that align with the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your passion for data analytics and how you can drive transformation within Allianz’s underwriting function.
Showcase Your Technical Skills: Don’t forget to highlight your programming skills, especially in Python and SQL. If you have experience with Databricks or automation, make sure to mention that too. We want to see how you can contribute to our data engineering infrastructure!
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 Popular SL.
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge, especially in relation to 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 Stakeholder Management Skills
Prepare examples of how you've successfully managed relationships with stakeholders in previous roles. This is crucial for the Data Engineering Manager position, so think about specific instances where you drove change or improved processes through collaboration.
✨Communicate Complex Ideas Simply
Practice explaining complex data concepts in a way that non-experts can understand. This will be key when presenting analytics to senior management, so consider rehearsing with a friend or colleague who isn't familiar with data engineering.
✨Demonstrate Your Problem-Solving Abilities
Be ready to discuss how you've tackled complex problems in the past without direct supervision. Think of specific challenges you've faced in data projects and how you approached them, highlighting your self-starter attitude and innovative solutions.