Senior Data Engineering Manager

Senior Data Engineering Manager

Location: Bangalore, India 

Are you a data engineering powerhouse who thrives on turning complex data challenges into elegant, scalable solutions? Do you love leading talented teams, shaping data architecture, and driving real business impact through cutting-edge analytics? If so, we have an exciting opportunity for you at Swiss Re!

About the Role:

As a Lead Data Engineer at Swiss Re, you will be at the heart of our data transformation journey — architecting and delivering high-impact data pipelines and analytics solutions that power critical business decisions. This is more than a technical role; it is a leadership opportunity where your expertise, vision, and collaborative spirit will shape the future of data engineering within a global, forward-thinking organization. You will take end-to-end ownership of complex technical deliverables, bridging the gap between business needs and world-class data solutions 

Key Responsibilities:

• Lead and collaborate closely with Product Owners and business analysts to deeply understand requirements, formulate innovative solutions, and evaluate implementation effort with precision
• Design, develop, and maintain robust, scalable data transformation pipelines that meet the evolving demands of the business
• Architect and implement data models and data architecture solutions that are future-proof, performant, and aligned with enterprise standards
• Deliver scalable data solutions leveraging PySpark, Python, and enterprise data platforms, ensuring reliability and efficiency at scale
• Evaluate and prototype new capabilities of the analytics platform, contributing to the development of a single source of truth across our application landscape
• Collaborate across a global development team to co-design and deliver solutions that meet diverse stakeholder needs across geographies
• Support and advise stakeholders on data-related functional and technical challenges, translating complexity into clarity
• Champion data governance by working with the data governance platform to ensure best-in class data management and stewardship practices
• Mentor and inspire a team of data engineers, fostering a culture of technical excellence, continuous learning, and knowledge sharing.

About the Team

The Financial Planning Solutions team plays a critical and strategic role in delivering innovative IT solutions that support business units across the organization. We are passionate about enhancing financial planning tools and processes, ensuring they are scalable, resilient, and adaptable to meet the ever-evolving needs of the business. Collaboration, transparency, and creativity are the cornerstones of how we operate — you will find a genuinely supportive environment that champions idea-sharing, mutual respect, and continuous improvement. As part of a growing global team of data engineering professionals, you will contribute to solutions that have a direct and meaningful impact on how Swiss Re makes data-driven decisions at scale. 

About You 

You are a seasoned data engineering professional who brings both technical depth and a collaborative mindset to everything you do. You thrive on solving complex big data analytics problems using state-of-the-art technologies and take pride in owning solutions from inception to delivery. As a natural leader, you inspire those around you, foster technical growth, and communicate complex ideas with clarity and confidence. You are a self-starter with a positive attitude, strong problem-solving instincts, and the ability to manage your own workload effectively in a fast-paced, global environment.

We Are Looking for Candidates Who Meet These Requirements:

• PySpark expertise — minimum 3 years of hands-on experience (preferably more), with strong proficiency in SQL (Spark SQL preferred)
• Large-scale data engineering experience — proven track record of designing and delivering enterprise-grade data engineering solutions on distributed computing platforms (Spark/Hive/Hadoop preferred)
• Data architecture and modeling — solid understanding of data management fundamentals including data modeling, ETL processes, data lakes, and data warehousing
• Leadership and mentoring experience — demonstrated ability to lead and develop engineering teams, driving technical growth and a culture of knowledge sharing
• Stakeholder engagement skills — excellent interpersonal and communication skills, with the ability to justify architectural decisions and explain complex technical concepts in clear business terms 

These Are Additional Nice to Haves:

• Bachelor's degree or equivalent in Computer Science, Data Science, or a related field
• Approximately 12+ years of experience working with large-scale software systems
• Experience with Scrum/Agile development methodologies
• Proven experience collaborating within diverse, multi-location teams of internal and external professionals
• Enthusiasm for working in a global and multicultural environment, with the ability to build strong relationships across geographies
• Knowledge of the Insurance domain, Financial Industry, or Finance functions in other industries
• Strong analytical mindset with a proactive, solutions-oriented approach 

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