Data Engineer I
Swiss Re · Bengaluru, Karnataka, India
- On site
- Full-time
- CHF 120,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Build financial data backbone using PySpark and Palantir Foundry.
- Develop data pipelines and reporting solutions for finance.
- Collaborate with stakeholders to define business needs.
- Implement testing and ensure platform operations.
- Hybrid work model with in-office expectation.
About the role
Data Engineer
Are you passionate about transforming complex financial data into actionable insights? Join our innovative Reporting Solutions team where you'll leverage cutting-edge technologies to build the data backbone that powers Swiss Re's financial reporting ecosystem. This is your opportunity to make a significant impact in a collaborative global environment that values technical excellence and continuous innovation.
About The Role
As a Data Engineer in our Reporting Solutions team, you'll be at the intersection of finance and technology, creating data solutions that enable informed decision-making across Swiss Re. You'll collaborate with stakeholders to understand business needs and develop robust data pipelines and reporting solutions that drive efficiency and innovation.
Key Responsibilities
- Collaborate closely with stakeholders to understand business questions and clearly specify key metrics and acceptance criteria for reporting solutions
- Build and maintain the core data backbone by integrating multiple Finance data systems using PySpark and tools within the Palantir Foundry environment
- Develop comprehensive data and reporting solutions that address business requirements for the wider Finance organization
- Implement testing strategies to ensure deliverables meet specifications, including system performance and report timeliness
- Ensure smooth operation of existing reporting platforms through structured change management activities
- Participate in ad-hoc projects and work collaboratively with team members to address evolving business needs
- Stay informed about the latest trends and best practices in data engineering and financial data analysis
About The Team
Global Finance Operations & Transformation (GFO&T) is responsible for the accounting and reporting of accurate and consistent financial information for Swiss Re. Our Reporting Solutions team is at the core of GFO&T, providing a flexible and stakeholder-centric reporting infrastructure for the entire department. We are a diverse team based out of Zürich, Bratislava, and Bangalore, committed to bringing alive the Finance of the Future. We transform our Finance operating model by standardizing, automating, and integrating our Reporting & Processes along the Value Chain. We foster innovation by driving Business Use Cases in the areas of User Experience and Data Management, working cross-functionally with colleagues in Finance, IT, and other departments to eliminate silos.
About You
You are a curious and collaborative professional who thrives in a dynamic environment. You have a passion for transforming complex data into meaningful insights and enjoy working at the intersection of technology and finance. Your strong technical skills are complemented by excellent communication abilities, allowing you to translate business needs into technical solutions effectively.
We Are Looking For Candidates Who Meet These Requirements
- 5-9 years of working experience in data engineering and reporting
- Proficiency in PySpark for data processing and management
- Experience with Palantir Foundry & its applications (building pipeline using code-repository, creating data-health Checks & Expectations, data analysis in Contour) is an advantage.
- Knowledge of Spark and optimizing spark-based pipelines
- Ability to convert business problems into technical implementations
- University degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, or Information Technology)
- Excellent command of spoken and written English with ability to present to senior management
These Are Additional Nice To Haves
- Familiarity with Financial Reporting & Valuations (like IFRS17)
- Knowledge of current Visualization tools or TypeScript
- Experience in data model design and implementation
- Process and delivery mindset aspiring for methodological and operational improvements
- Experience working in a global, cross-functional team environment
Work Model
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.
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.
Key skills/competency
- Data Engineering
- PySpark
- Palantir Foundry
- Data Pipelines
- Financial Reporting
- Spark Optimization
- Data Analysis
- Stakeholder Collaboration
- Business Requirements
- Quantitative Analysis
Skills & topics
- Data Engineer
- PySpark
- Palantir Foundry
- Data Pipelines
- Financial Reporting
- Spark Optimization
- Data Analysis
- Finance Technology
- Zurich
- Reporting Solutions
How to get hired
- Tailor your resume: Highlight your 5-9 years of data engineering experience, PySpark proficiency, and any Palantir Foundry knowledge.
- Quantify achievements: Showcase your impact with metrics, especially in data processing, pipeline development, and reporting improvements.
- Showcase collaboration: Emphasize your ability to work with stakeholders and translate business needs into technical solutions.
- Prepare for interviews: Be ready to discuss technical challenges, problem-solving approaches, and your understanding of financial data.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the core responsibilities of a Data Engineer at Swiss Re's Reporting Solutions team?
- As a Data Engineer at Swiss Re's Reporting Solutions team, you will be responsible for building and maintaining the core data backbone by integrating Finance data systems using PySpark and Palantir Foundry. You'll develop data and reporting solutions, implement testing strategies, and ensure the smooth operation of existing reporting platforms. Collaboration with stakeholders to understand business needs and translate them into technical solutions is also a key part of the role.
- What technical skills are essential for the Data Engineer role at Swiss Re?
- Essential technical skills for this Data Engineer role include 5-9 years of working experience in data engineering and reporting, with strong proficiency in PySpark for data processing. Knowledge of Spark and optimizing spark-based pipelines is crucial. Experience with Palantir Foundry, including building pipelines, data health checks, and data analysis in Contour, is a significant advantage.
- Does Swiss Re offer remote work options for the Data Engineer position?
- Swiss Re operates on a hybrid work model for this Data Engineer position. This means the expectation is that you will be in the office at least three days per week, balancing remote flexibility with in-person collaboration.
- What is the typical career path for a Data Engineer at Swiss Re?
- While specific career paths can vary, as a Data Engineer at Swiss Re, you have the opportunity to grow within the Reporting Solutions team or potentially move into other data-focused roles within Global Finance Operations & Transformation or other departments. The company encourages continuous learning and development, focusing on bringing alive the 'Finance of the Future' through innovation and automation.
- What kind of academic background is preferred for this Data Engineer role?
- Swiss Re looks for candidates with a University degree in a quantitative field. This includes disciplines such as Mathematics, Statistics, Computer Science, Engineering, or Information Technology, providing a strong foundation for the technical and analytical demands of the role.
- Are there opportunities to work with financial data or reporting standards like IFRS17?
- Yes, familiarity with Financial Reporting & Valuations, such as IFRS17, is listed as an additional 'nice to have' for this Data Engineer role. Given the focus on financial data and reporting ecosystems, this experience would be highly beneficial.
- How important is collaboration and communication in this Data Engineer position?
- Collaboration and communication are highly valued. The role requires you to collaborate closely with stakeholders to understand business questions and translate business problems into technical implementations. Excellent command of spoken and written English, with the ability to present to senior management, is also a requirement.