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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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