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Frankfurt am Main
Actively hiring, first seen by us 4 days agoJob title: Working Student - Big Data (f/m/d)
Support development and testing of ETL processes for ingestion, report calculation and analytics
Help develop common ingestion and reporting components in Apache Spark using Scala
Take part in functional requirements analysis for Eurex Clearing areas
You will support with development and test of ETL processes, like data ingestion, report calculation and analytics.
You will help with development and extension of common components for ingestion and reporting in data platform using Apache Spark in Scala.
You will be also involved in functional requirements analyses in Eurex Clearing area (C7, OTC/Calypso, C7 SCS).
You are enrolled during the entire period of activity at a state-recognized university as a regular student
have completed at least 4 semesters with study focus in the field of Computer Science or other relevant fields
You have strong knowledge about different data structures and algorithms
You have a understanding of concepts of OOP
you are proficient in written and spoken English
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
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- You are enrolled during the entire period of activity at a state-recognized university as a regular student, and have completed at least 4 semesters with study focus in the field of Computer Science or other relevant fields - Ideally, you have already gained first practical experience in the fields of (Database concepts,Java or Scala development) - You have strong knowledge about different data structures and algorithms
- You will support with development and test of ETL processes, like data ingestion, report calculation and analytics. - You will help with development and extension of common components for ingestion and reporting in data platform using Apache Spark in Scala. - You will be also involved in functional requirements analyses in Eurex Clearing area (C7, OTC/Calypso, C7 SCS).
Your area of work StatistiX® is Data Platform of Deutsche Börse Group, which includes Data Warehouse and Data Lake. StatistiX® provides external and internal users worldwide with statistical information on financial markets. You will be part of StatistiX DEV Clearing Team. Main responsibility of this team is to support Clearing business and projects with Data Platform and reporting functionalities. Furthermore find an effective way to solve actual business problems with ETL/Oracle and new technologies based on Cloudera Stack (incl. HDFS, HBase, Kafka) starting from requirements analyses, implementation till installation in production. Your responsibilities:
Complete your application on careers.deutsche-boerse.com. The employer’s form will show what is required.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
As one of the largest international exchange organisation and innovative market infrastructure provider, Deutsche Börse Group offers its customers a wide range of products, services and technologies covering the entire value chain of financial markets. It organises markets characterised by integrity, transparency and safety for investors who invest capital and for companies that raise capital. With around 6,700 employees, the company has its headquarters in the financial centre of Frankfurt/Rhine-Main, as well as a strong global presence in Luxembourg, Prague, Chicago, London, Cork, New York and at other locations for its customers all over the world.
Your area of work
StatistiX® is Data Platform of Deutsche Börse Group, which includes Data Warehouse and Data Lake. StatistiX® provides external and internal users worldwide with statistical information on financial markets. You will be part of StatistiX DEV Clearing Team. Main responsibility of this team is to support Clearing business and projects with Data Platform and reporting functionalities. Furthermore find an effective way to solve actual business problems with ETL/Oracle and new technologies based on Cloudera Stack (incl. HDFS, HBase, Kafka) starting from requirements analyses, implementation till installation in production.
Your responsibilities:
Your profile:
Start date: 01/01/2027
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Frankfurt am Main
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