Working Student - Data Engineering (f/m/d)
Frankfurt am Main, DE
Deutsche Börse
Die offizielle Website der Gruppe Deutsche Börse mit Informationen zum Unternehmen und den Bereichen Investor Relations, Media, Karriere, Nachhaltigkeit und Regulierung.Your area of work
As a working student (f/m/d) in our big data & Advanced Analytics team, we offer you the opportunity to contribute to projects and initiatives aimed at providing production-ready services, developing highly scalable platforms, and delivering AI solutions for use across the entire group.
Your responsibilities:
- You will assist the team building and maintaining scalable data pipelines using Azure Data Factory, Azure Databricks
- You will support Senior team members with data platform related tasks (Spark cluster upgrades, Terraform, CI/CD, etc.)
- You will work closely with data scientists, business analysts, and other stakeholders to understand data requirements and help deliver data & ML solutions
- In addition, you will write and maintain technical documentation and perform tasks in Agile methodology
- Furthermore, you will promote data collaboration, orchestration, quality, security, access, and ease of use
Your profile:
- You are enrolled during the entire period of activity at a state-recognized university as a regular student and have completed at least 3 semesters (Study focus on the field of informatics, mathematics, physics, economics, business studies, or other relevant fields) or you already hold a Bachelor’s/Master’s degree that is not older than 6 months
- You are familiar with big data technologies and frameworks
- You are aware of Azure Cloud platform services or are willing to learn
- You are proficient in SQL and knowledge of at least one programming language, ideally Python
- You are familiar with data platforms and processing frameworks such as Spark is a plus
- You are fluent in written and spoken English
Start date: 01/01/2025
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Big Data CI/CD Databricks Data pipelines Economics Engineering Machine Learning Mathematics Physics Pipelines Python Security Spark SQL Terraform
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