Stargate Data Analytics Engineer

Key Skills

Agile methodologies, Algorithms, Data Analysis, Data Analytics, Data Architecture, Effective communication skills, English Proficiency, German Language, Java Programming, PySpark, Python Programming, R Programming, Software Development, Spark Core, SQL

Job Description

Working in the Group Data Services (GDS) you will work with teams across Swiss Re to tackle some of the hardest problems in the re/insurance data space using cutting-edge technologies. In this role you will play a key role in the adoption of Stargate across Swiss Re.

In particular, you will:

• Collaborate and contribute as part of agile project teams of product owners, scrum masters, actuaries and other fellow data engineers/data scientists

• Leverage data to develop innovative analytics products jointly with teams across the organization on Palantir Foundry platform

• Build solutions that enable business units to grow revenue and/or increase operational efficiency

• Use your strong background in algorithms to implement scalable data pipelines

• Break down large and sophisticated projects into smaller parts that you can implement independently

• Network with data experts across Swiss Re to expand and use big data technologies across the firm

About the Team

You will be a team member of the Stargate Center of Expertise (CoE) which is part of the Data Platform & Engineering organization.

The Stargate CoE consists of a team of enthusiastic data strategists, data engineers, architects and platform specialists dedicated to realizing the full potential of Swiss Re's data. We engage with all parts of the company, enabling them to formulate and deliver on data ambitions, to develop group-wide data assets and to provide data-driven products and services to our clients.

About You

Must haves:

• University degree (or similar) in Computer Science, Data Science, Math, Statistics or Engineering

• Proficiency in programming/scripting languages such as Python/PySpark, SQL, Java, R

• In-depth knowledge of distributed computing frameworks/Spark; and other technologies required for data engineering and analytics

• Familiarity with data structures, algorithms, cloud infrastructure and good software development practices

• Demonstrated ability to work independently and make decisions with minimal direction

• Ability to collaborate efficiently in teams with both technical and non-technical individuals, in a constantly evolving environment with dynamic objectives

• Ability to communicate sophisticated technical concepts and results in a clear and concise manner to non-technical audiences

• Excellent verbal and written communication skills

• English proficiency is a requirement; German or any other language is a plus