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Bangalore, KA, IN

Data Engineering Lead

About Swiss Re Corporate Solutions 


Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces 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.



About the Role


Are you an energetic data engineer who is truly customer-obsessed and loves working with teams to design and deliver exceptional data driven solutions? 


As a senior data engineer, you will be responsible for delivering best in class data engineering capabilities supporting the companies' ambition to become data driven.  You will have strong skills in designing, building and testing data management solutions within big data cloud infrastructure.  You have a real passion for truly democratising data for the business and our customers.


You thrive working in an agile, collaborative environment providing knowledge and guidance on best practises and techniques for data engineering as well as gaining a deep understanding of the business


Role responsibilities include:

  • Collaborate with your customers, understanding their data needs, finding innovative ways to bring data into their daily process
  • Implement, verify, design, and maintain data management solutions
  • Build a data architecture for ingestion, processing, and surfacing of data for large-scale applications
  • Research and discover new methods to acquire data, and new applications for existing data
  • Create full transparency of data for customers to know what is available and how to use it
  • Driving the adoption of data engineering standards
  • Create an agile working environment, focussing on the delivery high quality products and providing the ongoing support to meet the customers' needs
  • Embedding monitoring of performance and quality of our end to end data landscape from source to user


About the Team


Our ambition is to become a data driven commercial insurer, finding innovative ways of using data to provide risk transfer solutions for our clients making them and the world more resilient. This is an opportunity to join a fast-paced working environment that leverages the latest technologies and data to provide unique and compelling analytics solutions in a competitive marketplace


About You


Are you eager to disrupt the insurance industry with us and make an impact? Do you wish to have your talent recognized and rewarded? Then join our growing team and become part of the next wave of data innovation.


Your experience:

  • 7 - 8  years as a data engineer
  • Strategic mindset, able to connect with the big picture and focus on tangible outcomes
  • Experienced programmer in Python and R
  • Knowledge of working in a Spark environment
  • Knowledge of analytical architecture, DWH , Data Marts, analysis tools such as Power BI , Tableu, QlikView
  • A desire and openness to learning and continuous improvement, both of yourself and your team members
  • Fluent english
  • Experience with the cloud-based services from major cloud providers including but not limited to Microsoft Azure and Amazon Web Services.
  • Degree in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. We welcome different levels, including graduates.


We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.


We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder

Reference Code: 108968 


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