Data Engineer III

Are you passionate about transforming complex financial data into actionable insights usingcutting-edge technologies? Join our Finance Reporting & Analytics Engineering team where you'lldesign and build sophisticated data solutions with Python, PySpark, and Palantir Foundry to drivestrategic business decisions. This role offers the perfect blend of technical expertise andbusiness impact, allowing you to showcase your advanced data engineering skills while directlyinfluencing key financial processes.

About The Role

As a Data Engineer III, you'll be at the forefront of our data transformation initiatives, designingand implementing robust data pipelines in Palantir Foundry that convert raw financial data intovaluable business intelligence. You'll leverage Python and PySpark to develop efficient dataprocessing workflows while collaborating with cross-functional teams to understand businessrequirements and translate them into technical solutions that deliver measurable results.

Key Responsibilities

Design and develop complex data pipelines and ETL processes using PySpark and Pythonwithin Palantir Foundry to support financial reporting and analytics needs

Implement data models and structures in Palantir Foundry optimized for analyticalprocessing and reporting

Collaborate with business stakeholders to understand requirements and translate theminto technical specifications for Foundry implementations

Collaborate within a global development team to design and deliver solutions

Ensure data quality by implementing robust validation and monitoring processes usingPython and PySpark

Optimize existing Palantir Foundry workflows for improved performance, reliability, andscalability

Troubleshoot and resolve complex data issues in Foundry environments while implementingappropriate solutions

Document technical processes, data lineage, and system architecture within PalantirFoundry

Take ownership of end-to-end technical deliverables with minimal supervision

About The Team

The Finance Reporting & Analytics Engineering team is responsible for designing andimplementing complex data pipelines and analytics solutions that support key decision-makingbusiness processes across the finance organization. Our team takes pride in delivering high-

quality data solutions that provide valuable insights to drive strategic financial decisions andoperational excellence.

About You

You're a problem-solver at heart who thrives in a collaborative environment. You have a strongtechnical foundation in data engineering with Python and PySpark combined with excellentcommunication skills that allow you to translate complex technical concepts to non-technicalstakeholders. You're proactive, detail-oriented, and committed to delivering high-quality solutionsthat meet business needs. As a self-driving and highly motivated individual, you take initiativeand can work independently while still contributing effectively to team goals.

We Are Looking For Candidates Who Meet These Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or related technical field

5+ years of experience in data engineering with strong focus on Python and PySpark

Advanced proficiency in Python programming for data manipulation and analysis

Basic experience with data analysis using SQL

Proven experience with PySpark for large-scale data processing

Experience working with Palantir Foundry, Snowflake, Databricks or similar enterprise dataplatforms and proven experience designing and delivering large-scale data engineeringsolutions on distributed computing

Experience with version control systems (Git) and CI/CD pipelines

These Are Additional Nice To Haves

Experience with Palantir Foundry's Code Workbooks, Transforms, and Data Integrationfeatures

Knowledge of data visualization tools like Tableau, Power BI, or Foundry's built-invisualization capabilities

Familiarity with financial data and reporting requirements

Experience with TypeScript

Experience in Scrum/Agile development methodologies

Our company has a hybrid work model where the expectation is that you will be in the office atleast 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.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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