Senior Data Engineer at Swiss Re United Kingdom

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jan, 26

Salary

0.0

Posted On

05 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, Analytics, Cloud Data Warehousing, Azure Databricks, Palantir, SAP S/4 HANA, Python, SQL, CI/CD, DevOps, Financial Services, Agile, Problem Solving, Communication, Mentoring

Industry

Insurance

Description

About the Team The Data & Analytics team, part of the Finance Data & Analytics Engineering product area, is dedicated to delivering performant, scalable, and maintainable solutions that empower stakeholders to extract actionable insights from large and diverse financial datasets. Our solutions support financial reconciliation, steering, and auditing, leveraging platforms such as SAP S/4 HANA, Microsoft Azure, and Palantir Foundry. As an expert in this team, you will be responsible for the full lifecycle of solution development—from analysis to maintenance—ensuring fast, reliable, and insightful reporting capabilities. About the Role We are seeking a seasoned professional with a strong background in business-facing roles and technical expertise for the SwissRe cloud transformation project. This role offers a unique opportunity to work in a complex and dynamic finance landscape. You’ll design and deliver solutions for IFRS reporting to a big finance department that will challenge your problem solving and solutioning skills. You’ll be using the cutting-edge technology platforms of Azure Databricks, Palantir Foundry and SAP S/4 HANA Embedded Analytics. Key Responsibilities Architect and implement analytics and data modeling solutions for Microsoft Azure Databricks, Palantir, and SAP landscape. Develop and enhance analytical applications and reporting tools. Collaborate with business stakeholders (business analysts, product owners, architects) to gather requirements, design functional solutions, and deliver end-to-end analytics products independently. Lead the development of prototypes and ensure timely delivery of production-ready solutions. Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning. Contribute to best practices, coding standards, and architectural guidelines. About You You are a passionate and experienced application engineer with deep expertise in ETL and analytics technologies. You thrive in collaborative environments, enjoy solving complex data challenges, and are committed to delivering high-quality, scalable solutions. You are also a strong communicator who can translate technical concepts into business value. Requirements – Experience The ideal candidate should have expertise in cloud data warehousing / Lakehouse solutions (Azure Databricks or Palantir) with exposure and understanding of SAP tables and structures. The ability to work in an agile environment with an understanding of methods and tools (ADO/JIRA) is important. 10+ years of hands-on experience in designing and implementing ETL for large data solutions and reporting solutions using Microsoft Azure/Databricks or Palantir. Proficiency in building scalable transformations using Python (Py Spark) and SQL. Understanding performance impact and resolving performance related issues is a key requirement. Exposure to SAP tables/structures and working knowledge of ABAP Objects, REST APIs, OO ABAP, BAPIs, and SQL. Experience with CI/CD pipelines and DevOps practices in data engineering. Proven track record across all phases of cloud application development: requirements gathering, architecture, implementation, Maintenance, testing, and documentation. Strong analytical thinking and ability to communicate complex processes clearly to non-technical stakeholders. Bachelor's degree in computer science, Information Technology, or related field. Experience in financial services and insurance Industry is preferred. Excellent verbal and written communication skills; experience working in agile environments. Good to Have Understanding S/4 HANA Embedded Analytics will be a value add. Exposure to financial reconciliation and auditing processes. Familiarity with data governance and compliance standards in finance. 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. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.Our success depends on our ability to build an inclusive culture encouraging 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 and their passion for sustainability.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. .swissre_footer { position: relative; margin-top: -50px; height: 30px; clear: both; margin-bottom: 20px; background: #EEE none repeat scroll 0% 0%; line-height: 30px; padding: 0px 10px; color: #AAA; font-family: "Arial,Helvetica,sans-serif"; } .swissre_jobtemplate { width: 970px; max-width: 100%; height: auto; } .jobDisplay .job { font-family: "Arial" !important; font-size: 12px !important; } .joqReqDescription { max-width: 100%; height: auto; align: center; } .joqReqDescription ul { width: 787px; max-width: 100%; } .joqReqDescription p { width: 827px; max-width: 100%; } Keywords: Reference Code: 135069

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Responsibilities

Architect and implement analytics and data modeling solutions for various platforms. Collaborate with business stakeholders to gather requirements and deliver end-to-end analytics products independently.