Intern in Software and Data Engineering (m/f/d)

Allianz; Kirchheim bei München; Vor Ort; EUR 9.000 - 13.000; Teilzeit

Benefits dieser Stelle

Travel allowance

Lunch allowance

LinkedIn Learning access

Educational opportunities

Zusammenfassung

PIMCO Prime Real Estate in Munich is seeking an intern (m/f/d) to join the Data & AI team and gain insight into a leading real estate investor. This role is ideal for someone passionate about data analytics and transforming data into insights within a global property environment.

You will design datasets and pipelines using Databricks, SQL, and Python, develop data apps with Streamlit or Flask, and collaborate with IT and business teams to ensure robust data integrations and quality.

Qualifikationen

• Currently enrolled in a degree program in Computer Science, Information Systems, Data Engineering or Data Science.
• Strong programming and data-handling skills with SQL and Python.
• Interest in databases, ETL concepts and data integration; good attention to detail.

Aufgaben

• Design and build data pipelines and integrations on real estate data platforms using SQL, Python and Databricks.
• Develop data apps (Streamlit, Flask) and RAG/LLM-based solutions where appropriate.
• Support data migration, ETL processing and data quality checks across systems.
• Explore AI-powered tools to speed up development and data processing.
• Set up and test databases, interfaces, and system integrations with IT and business teams.
• Troubleshoot issues, identify root causes and ship fixes.
• Collaborate with business, data and project teams, reporting progress regularly.

Kenntnisse

SQL

Python

Databricks

Data engineering

ETL concepts

Git

English proficiency

Ausbildung

CS/IS/Data Engineering/DS student

Tools

Databricks

Streamlit

Flask

Plotly Dash

Git

Jobbeschreibung

Welcome at PIMCO Prime Real Estate

We are looking for an intern (m/f/d) for our modern and innovative location at Munich.

You will become part of the Data & AI and work alongside a global team with diverse backgrounds and expertise. This role is ideal for someone who is passionate about data analytics, enjoys transforming data into meaningful insights, and is eager to gain exposure to the real estate industry.

What you will do:

• Design and build data pipelines and integrations on our real estate data platforms, working with tools such as Databricks, SQL, and Python.
• Depending on the project, develop data apps (e.g., Streamlit, Flask, Plotly Dash), microservices and RAG/LLM-based solutions using vector databases.
• Support the migration of data between legacy and new systems, including extraction, transformation, loading, and validation of large datasets.
• Explore and apply AI-powered tools to speed up development, data processing, and quality checks.
• Set up, configure, and test databases, interfaces, and system integrations together with IT and business teams.
• Dig into technical issues and bugs, get to the root cause, and help ship the fix.
• Collaborate with business, data, and project teams, and keep everyone posted on progress.

What you will bring:

• Currently enrolled in a degree program in Computer Science, Information Systems (e.g., Wirtschaftsinformatik), Data Engineering, Data Science, or a related field, with a solid understanding of software development.
• Strong programming and data-handling skills, with practical experience in SQL and Python (or similar languages).
• Interest in databases, system architecture, and data integration; familiarity with ETL concepts is an advantage.
• High attention to detail, a structured working style, and a commitment to delivering accurate and reliable results.
• Ability to work independently, manage priorities effectively, and communicate progress proactively.
• Exposure to cloud platforms (e.g., Databricks), web frameworks (e.g., Streamlit, Flask), version control (e.g., Git), or AI-powered development tools (e.g., LLM/RAG applications) is a plus.
• Fluency in English, both written and spoken.

Our highlights for you:

• Remuneration: In addition to an attractive salary, you can expect a monthly travel allowance of 30,00 € and a daily lunch allowance in our excellent staff restaurants.
• Career development: Comprehensive educational opportunities in the form of training courses and access to LinkedIn Learning enable continuous further development.

We can find a complete overview of what makes us an attractive employer at careers.allianz.com/benefits.

Appointment date: 01.10.2026

PIMCO Prime Real Estate

A leading global real estate investor and manager, PIMCO Prime Real Estate is a PIMCO company and part of the PIMCO real estate platform, focusing on the Core and Core+ segments of the market and managing the Allianz Group’s $85B real estate mandate.

We manage a global investment portfolio c. $90B AUM, with an international team of c. 450 employees working in 16 offices in Belgium, China, France, Germany, Italy, Japan, Singapore, Spain, Sweden, the UK and the U.S.

PIMCO’s real estate platform is one of the largest and most diversified in the world, with $174B in assets and a broad set of solutions that leverage decades of expertise across public and private equity and debt markets.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let’s care for tomorrow.