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Intern - Real Estate Portfolio, Global Data and Analytics (m/w/d) at Allianz Global Corporate & Specialty SE

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

0.0

Posted On

06 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Software Development, Automated Testing, Database Management, CICD Processes, Front-End Development, Collaboration, Data Quality Monitoring

Industry

Financial Services

Description

Welcome at PIMCO Prime Real Estat We are looking for an intern (m/f/d) for our modern and innovative location in Munich. Our Global Data and Analytics team maintains and develops a Python web application delivering key analytics to multiple customers and functional areas on a global scale. In this role you will have the exciting opportunity to learn hands-on what it means to work as full-stack developer in an agile team. You will mainly focus on software development, but also handle database management, CICD processes and front-end development, transforming quantitative business requirements into new website features What you will do Software development in Python including automated testing (from database to front-end) Become a member of an agile developer team transforming user requirements into web-based analytics solutions Automated software deployment and monitoring Support the team with reporting and data quality monitoring What you bring Enrolment in studies in computer science or similar quantitative fields during the whole length of the employment Programming skills with practical experience in Python Experience with Plotly Dash, HTML/CSS, Git, Docker, Kubernetes, CI/CD, SQL databases are a plus Collaborative team player Fluent in English

Responsibilities

The intern will focus on software development in Python, including automated testing, and will be part of an agile developer team transforming user requirements into web-based analytics solutions. Additional responsibilities include automated software deployment and monitoring, as well as supporting the team with reporting and data quality monitoring.