Data Engineer

Data Engineer III

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.

 

Keywords:  
Reference Code: 137748 

 

 

Experience Level

Senior Level