# Senior Data Engineer at Swiss Re

Swiss Re is hiring a Senior Data Engineer in Hyderabad, India. Level rates it Works on AI ●●●○; you can [apply on Swiss Re](https://jobsbylevel.com/go/3838fe2d-0298-477c-a153-e3a1a85e76eb?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Hyderabad, TG.

## Details

- Company: [Swiss Re](https://jobsbylevel.com/companies/swiss-re)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Hyderabad, TG
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/3838fe2d-0298-477c-a153-e3a1a85e76eb?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-at-swiss-re-6bd3fd

## Prepare for this job

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## Description

Senior Data Engineer Are you passionate about transforming raw data into powerful insights that drive real business decisions? Do you thrive at the intersection of cutting-edge technology, AI innovation, and large-scale data engineering? If so, we have an exciting opportunity for you to make a meaningful impact on a global scale. About the Role As a Senior Data Engineer , you will be at the heart of our ambition to become a truly data-driven organisation. You will design and deliver best-in-class data engineering capabilities, architect scalable solutions on modern cloud platforms, and help democratise data for business stakeholders and customers alike. This is a role for someone who embraces AI-assisted development, loves solving complex problems, and is energised by working in a fast-paced, collaborative, global environment. Key Responsibilities Drive end-to-end analytics delivery — design, develop, and implement analytics models and visualisations that provide actionable, business-ready data insights Collaborate with stakeholders — work closely with Product Owners and Architects to understand requirements, formulate solutions, and evaluate implementation effort Build scalable data pipelines — design, develop, and maintain robust transformation logic using Python/PySpark, SQL , and modern analytics platforms such as Palantir Foundry Leverage AI technologies — utilise Palantir AIP and generative AI to enhance analytics solutions, automate workflows, and improve user experiences where appropriate Champion AI-assisted development — apply tools such as GitHub Copilot or equivalent to improve development efficiency while upholding high engineering standards Optimise Spark-based solutions — oversee architecture design and performance tuning of Spark-based data solutions at enterprise scale Set engineering standards — define and drive the adoption of best practices, coding standards , and quality frameworks across the team Innovate and prototype — evaluate new platform capabilities, develop prototypes, and draw conclusions on their applicability to the solution landscape Mentor and lead — provide knowledge, guidance, and technical leadership to a team of developers in an agile, collaborative environment Stay ahead of the curve — continuously track emerging data engineering tools, frameworks, and industry trends, driving innovation within the team Deliver as a global team — collaborate across a globally distributed development team to design and deliver impactful solutions About the Team The L&H Data & Analytics Engineering team is a key technical partner for our Life & Health (L&H) Reinsurance division, supporting the transformation of the data landscape and the creation of innovative analytical products and capabilities. We are a large, globally distributed team operating in an agile development environment, delivering solutions that make better use of reinsurance data and enhance data-driven decision-making across the entire business value chain. Joining this team means being part of a dynamic, forward-thinking group that values collaboration, continuous learning, and technical excellence. About You You are a curious, driven, and technically sharp data engineering professional who thrives on solving complex big data challenges using leading-edge technologies. You have a clear ability to learn and adopt new tools quickly — particularly in AI, modern analytics platforms, and cloud-native data engineering. You are a self-starter who takes ownership of solutions from inception to delivery and communicates effectively across technical and business audiences. You bring a collaborative mindset, a passion for engineering excellence, and the ability to lead and inspire those around you. We are looking for candidates who meet these requirements: 9+ years of experience designing and developing large-scale software systems, with a strong focus on platforms such as Palantir Foundry and Azure Databricks Proficiency in Python/PySpark and SQL ,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-data-engineer-at-swiss-re-6bd3fd

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