📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Swiss Re 👥 Experience 0-2 years 🎓 Qualification Bachelor’s Degree in Computer Science, IT, Data Analytics, or related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Data Engineering SQL Python Data Pipelines Business Intelligence Data Engineer – P&C Finance at Swiss Re — Full Details & How to Apply Swiss Re is looking for a passionate Data Engineer – P&C Finance to join their team in Bangalore, Karnataka, India . This role offers a unique opportunity to shape data-driven decisions in a leading global reinsurance company, making it a pivotal position in today's data-centric financial landscape. The role of a Data Engineer – P&C Finance is crucial in the ever-evolving technology sector, where accurate data management drives strategic decision-making and operational efficiency. As industries increasingly rely on data analytics, the demand for skilled data engineers continues to rise. This position not only enhances your technical expertise but also positions you at the forefront of financial modeling and risk assessment capabilities, making it a vital career choice for those entering the field. Swiss Re stands out as a premier employer in the reinsurance industry, offering innovative projects and a collaborative environment that fosters professional growth. With a commitment to excellence, Swiss Re provides its employees with the tools and resources necessary to thrive. The company’s focus on data quality and analytics directly influences its operational success, making this role a significant contributor to the organization’s overall strategy. This role is ideal for both freshers and candidates with up to 2 years of experience . If you hold a B.Tech, MCA, or related degree and belong to the 2023, 2024, 2025, or 2026 graduating classes, this is an excellent opportunity for you. The Data Engineer – P&C Finance position is designed for individuals eager to make an impact in a global leader while developing their skills in a supportive environment. In this role, you will gain invaluable experience in data engineering , including mastering essential skills such as SQL , Python , and building data pipelines . You will also be exposed to business intelligence tools and methodologies, enhancing your ability to contribute to data-driven decision-making processes. The knowledge and experience you acquire here will be instrumental in your career advancement. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you're ready to take the next step in your career, don’t miss the chance to apply online for the Data Engineer – P&C Finance position at Swiss Re . Job Role & Responsibilities The role of a Data Engineer – P&C Finance at Swiss Re is pivotal in ensuring that data flows seamlessly through the organization, enabling accurate financial analytics and reporting. This position is designed for individuals who are eager to contribute to the financial sector through innovative data solutions. Design and implement robust data pipelines that facilitate seamless data flow for financial analytics and reporting. Utilize SQL and Python to manipulate and analyze large datasets, ensuring data integrity and accessibility for stakeholders. Collaborate with cross-functional teams , including finance and IT, to gather requirements and deliver tailored data solutions that meet business needs. Monitor and optimize data performance metrics , ensuring timely delivery of insights that drive critical business decisions. Take ownership of projects, demonstrating initiative in learning new technologies and methodologies to enhance data engineering practices. Document data processes and workflows clearly, facilitating knowledge sharing and maintaining compliance with data governance standards . Identify and troubleshoot data-related issues , proposing innovative solutions to enhance data quality and operational efficiency. Engage in continuous learning and professional development to stay updated with the latest trends in data engineering and analytics. This role fosters a culture of ownership, where you will have the opportunity to make a significant impact on the data landscape at Swiss Re , driving improvements that benefit the entire organization. Required Skills & Technical Competencies The ideal candidate for the Data Engineer – P&C Finance role will possess a strong skill profile that combines technical expertise with analytical capabilities. These skills are essential for building scalable data solutions that support financial analytics. Technical Skills SQL (Proficient) — essential for querying databases and ensuring data accuracy critical for financial reporting. Python (Intermediate) — required for data manipulation and automation of data workflows, enabling efficient data processing. Data Engineering Concepts (Intermediate) — foundational knowledge necessary for building scalable data solutions. Data Pipelines (Proficient) — experience in designing and implementing data pipelines that ensure data integrity. Business Intelligence Tools (Familiarity) — knowledge of tools that enhance the ability to present data insights effectively. Data Visualization (Basic) — skills in visualizing data to communicate insights to stakeholders. Soft Skills & Professional Competencies Analytical Skills — strong ability to analyze complex datasets and derive actionable insights. Problem-solving — capacity to identify issues and propose innovative solutions to enhance data quality. Communication Skills — effective in conveying technical concepts to non-technical stakeholders. Team Collaboration — ability to work effectively with diverse teams to achieve common goals. Good to Have (Bonus) Familiarity with Cloud Platforms — experience with platforms like AWS or Azure is a plus. Experience with ETL Tools — knowledge of tools used for data extraction, transformation, and loading. Knowledge of Machine Learning — understanding of basic machine learning concepts can be advantageous. To showcase these skills in your resume or interview, highlight relevant projects or internships that demonstrate your proficiency in SQL , Python , and data engineering practices. Be prepared to discuss specific examples where you solved data-related challenges. Eligibility Criteria This role is designed for recent graduates who are passionate about data engineering and eager to start their careers in the reinsurance industry. Candidates must hold a Bachelor’s Degree in Computer Science, IT, Data Analytics, or a related field . Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 7.0 is preferred to ensure a strong academic background. This role is open to both freshers and candidates with up to 2 years of experience . Prior internship or hands-on project experience related to data engineering or analytics is a strong advantage. Strong analytical skills and a passion for data are essential for success in this role. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements and relevant projects. Include links to your GitHub or portfolio showcasing your work in data engineering or analytics. Certifications in SQL or Python can also enhance your application. Pro Tip: Tailor your application to emphasize your relevant skills and experiences that align with the Data Engineer – P&C Finance role at Swiss Re to improve your success rate. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at Swiss Re for the role of Data Engineer – P&C Finance emphasizes offering a [Salary Display value] that is competitive and reflective of industry standards for entry-level roles. The company is committed to ensuring that employees feel valued and supported through a comprehensive benefits package. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to provident fund and pension schemes Performance Bonuses — annual bonuses based on individual and company performance Flexible Work Hours — options for hybrid work to promote work-life balance Learning & Development Programs — access to training and certifications to enhance skills Additional Perks & Benefits Meal Allowances — daily meal stipends to support employee well-being Transportation Support — assistance with commuting costs for employees Wellness Programs — initiatives focused on mental and physical health Employee Assistance Programs — confidential support for personal and professional challenges Social Events — regular team-building activities and celebrations Career Progression & Salary Growth At Swiss Re , employees can expect structured appraisal cycles typically occurring every 6 months . Raises can range from 5% to 15% based on performance, with clear promotion timelines that encourage rapid career advancement . The company supports internal mobility, allowing employees to explore various roles within the organization. NexisGrow.com tip: When discussing salary, highlight your skills and the value you bring to the role to negotiate effectively. Selection Process The hiring philosophy at Swiss Re is centered around finding candidates who not only possess the necessary technical skills for the Data Engineer – P&C Finance role but also align with the company’s values and culture. The selection process is designed to be thorough yet fair, ensuring that the best candidates are chosen. 1 Round 1: Application Screening — Initial review of resumes to shortlist candidates based on qualifications and skills. 2 Round 2: Technical Interview — Focus on data engineering concepts, including SQL and Python proficiency. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and communication skills , often with team members. 4 Final Stage: Offer Presentation — Presentation of the job offer and background check to ensure standards are met. What Each Round Tests Round 1 assesses your qualifications and relevant experience. Round 2 tests your technical knowledge and problem-solving capabilities, while Round 3 evaluates your fit within the team and company culture. Timeline & Expectations The entire selection process typically spans 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with Swiss Re 's core values and be prepared to discuss how your experiences align with them. How to Apply for Data Engineer – P&C Finance at Swiss Re Apply Now — Swiss Re Create Your Profile — Visit the application page and set up your profile with accurate information. Resume Submission — Upload your resume, ensuring it highlights relevant skills and experiences for the Data Engineer role. Complete the Application Form — Fill in all required fields, focusing on your technical skills and projects. Track Your Application — Monitor your application status through the portal for updates. Prepare for Interviews — Be ready for both technical and behavioral interviews as outlined in the selection process. Resume & Profile Tips for This Role Highlight Technical Skills — Emphasize your proficiency in Python , SQL , and data engineering tools. Showcase Relevant Projects — Include any hands-on project experience related to data engineering. Detail Your Education — Clearly state your degree, such as B.Tech in Computer Science , and any relevant certifications. Include Soft Skills — Mention problem-solving and communication skills that are essential for team collaboration. Applications are accepted on a rolling basis, so candidates are encouraged to apply early to increase their chances of consideration. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the specific eligibility requirements for the Data Engineer role at Swiss Re? Eligibility Tap to expand + Answer Candidates must have a Bachelor’s Degree in Computer Science or related fields, with eligibility for 2023-2026 batches and a preference for a minimum CGPA of 7.0. ? What is the interview process for Data Engineer at Swiss Re? Interview Tap to expand + Answer The interview process includes an initial application screening, a technical interview assessing SQL and Python skills, followed by a behavioral interview. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer Candidates will primarily work with SQL and Python, alongside data visualization tools and business intelligence platforms to analyze and present data. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While salary details are not disclosed, candidates can expect competitive compensation and opportunities for performance-based bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is based in Bangalore and may offer hybrid work options, aligning with industry trends for flexibility. ? What is the career growth path after joining Swiss Re as a Data Engineer? Growth Tap to expand + Answer Career growth includes structured promotion timelines, opportunities for internal mobility, and regular performance evaluations to support advancement. ? How should I prepare for the Data Engineer interview at Swiss Re? Preparation Tap to expand + Answer Candidates should focus on SQL and Python skills, familiarize themselves with data engineering concepts, and prepare for behavioral interview questions. ? How do I apply and what documents are needed? Application Tap to expand + Answer To apply, visit the official career link, and submit your resume along with a cover letter highlighting relevant experience and skills. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 6 months, during which performance is evaluated to ensure a good fit for the role. ? What is the work culture like at Swiss Re? Culture Tap to expand + Answer The work culture is collaborative and inclusive, emphasizing continuous learning and professional development through mentorship and team support. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com