PS
Data Engineer – Data Visualization
PROSTAFF Schweiz GmbH
On-site Senior Yesterday
About the role
About
For a large international insurance environment, we are looking for an experienced Data Engineer with strong data visualization and web application experience to support the acceleration of a global data lake initiative.
The platform provides underwriters and management with a unified portfolio view across multiple countries, enabling improved data-driven decision-making. The project focuses on onboarding and integrating data from various global sources, including premiums, claims, and exposure data.
Responsibilities
- Design and implement data visualization views based on product owner requirements
- Extend existing dashboards and applications with new datasets and UI features
- Improve user experience and support evolving analytical requirements
- Standardize and modularize existing code into reusable components
- Optimize SQL queries and data access performance
- Implement hotfixes and enhancements across the application stack
- Collaborate with data engineers working on the data export (gold) layer
- Occasionally support data source modifications within Scala / Spark environments
Core Skills
- Strong experience building web-based data applications
- Experience with data visualization frameworks
- Experience with reactive programming
Technologies
- R / R-Shiny
- SQL Server
- JavaScript
- Dplyr
- Echarts4r
Nice to Have
- Experience with Dash or Streamlit (Python visualization frameworks)
- Experience with Scala / Apache Spark
- Insurance domain knowledge
Requirements
- Strong experience building web-based data applications
- Experience with data visualization frameworks
- Experience with reactive programming
Responsibilities
- Design and implement data visualization views based on product owner requirements
- Extend existing dashboards and applications with new datasets and UI features
- Improve user experience and support evolving analytical requirements
- Standardize and modularize existing code into reusable components
- Optimize SQL queries and data access performance
- Implement hotfixes and enhancements across the application stack
- Collaborate with data engineers working on the data export (gold) layer
- Occasionally support data source modifications within Scala / Spark environments
Skills
Apache SparkDplyrEcharts4rJavaScriptRR-ShinyScalaSQL ServerSpark
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