Application Engineer III

Are you an engineer who loves solving complex problems, thrives at the intersection of technology and business, and gets excited about building solutions that make a real difference? If you move fluidly between application development, data analysis, and AI-driven innovation — and you're energised by turning complex business challenges into elegant, scalable solutions — this could be exactly the role you've been looking for!

About the Role

As an Application Engineer III within the P&C Data Analytics team, you will be a key technical force — partnering with Risk Consultants, clients, and product stakeholders to solve real-world business problems through smart application engineering, deep data analysis, and AI-enabled innovation. This is not a role where you sit in a silo. You'll be at the centre of it all — designing and developing .NET-based APIs and integrations within the Microsoft Azure ecosystem, diving into complex datasets to uncover insights, and driving automation and AI initiatives that genuinely move the needle. If you're someone who thrives on variety, loves a challenge, and brings both technical depth and business curiosity to the table, you'll feel right at home here.

Key Responsibilities

• Design, develop, and support robust .NET APIs, integrations, and data-driven applications that are scalable, reliable, and built to last

• Analyse complex datasets using advanced SQL to investigate intricate business scenarios, validate outcomes, identify root causes, and deliver clear, data-driven recommendations

• Identify and deliver automation opportunities that meaningfully improve efficiency, quality, and productivity across the team and business

• Drive automation and AI initiatives — including exploration of tools such as GitHub Copilot — to improve operational efficiency and unlock better business outcomes

• Collaborate closely with Risk Consultants, Product Managers, and clients to translate business requirements into practical, impactful technical solutions

• Independently determine the best technical approach for new challenges, demonstrating strong problem-solving instincts and a self-driven working style

• Contribute to technical innovation by staying current with emerging technologies and proactively bringing fresh ideas to the team

About the Team

This role sits within the Risk Consulting & Analytics technology team, part of the Risk Data Solutions (RDS) business at Swiss Re. RDS delivers a broad range of premium products, unmatched offerings, and tailored solutions to clients across the globe. With deep market closeness and a thorough understanding of key risk drivers, the team identifies emerging trends in the risk landscape early and develops innovative reinsurance solutions in close collaboration with clients. Our teams bring together global expertise and local knowledge to craft solutions that truly make a difference — for our clients and for the world.

About You

You're a proactive, versatile engineer who blends strong application development expertise with sharp analytical thinking and genuine business curiosity. You enjoy untangling complex problems, quickly grasp what stakeholders need, and confidently turn those needs into effective technical solutions. You're equally comfortable diving deep into a dataset as you are architecting an API — and you bring energy and enthusiasm to everything you do. You communicate clearly with both technical and non-technical audiences, adapt quickly to shifting priorities, and approach every challenge with a continuous learning mindset.

We are looking for candidates who meet these requirements:

• 8–10 years of experience in application development, software engineering, or related technology roles

• Strong hands-on experience with .NET, REST APIs, Microsoft Azure, Azure DevOps, and SQL — with a proven track record of delivering production-grade solutions

• Proven ability to analyse complex datasets , investigate issues, and derive meaningful, actionable business insights

• Demonstrated experience designing, developing, and supporting APIs, integrations, and data-driven applications end-to-end

• Strong analytical, problem-solving, and decision-making capabilities , with the ability to independently assess situations and determine the best path forward

These are additional nice to haves:

• Experience with Azure Databricks, Azure Data Factory, and Python for data processing, analytics, and automation

• Familiarity with modern front-end technologies such as React or Angular, and a solid understanding of front-end application development

• Exposure to automation initiatives, AI-enabled solutions , and tools such as GitHub Copilot

• Excellent communication skills with the ability to engage effectively with both technical and business stakeholders

• A natural curiosity and adaptability , with a genuine passion for continuous learning and staying ahead of the technology curve

About Swiss Re

Swiss Re is one of the world's leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks — from natural catastrophes and climate change to cybercrime — across both Property & Casualty and Life & Health. With more than 15,000 employees worldwide, we combine experience, creative thinking, and cutting-edge expertise to create new opportunities and solutions for our clients.

Our success depends on building an inclusive culture that encourages fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought, or other characteristics. In our inclusive and flexible environment, everyone can bring their authentic selves to work.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.