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ICIS, part of LexisNexis Risk Solutions, invites motivated students to join the Analytical Data Engineering team in Karlsruhe for a fixed-term internship. You will help build a modern data platform, focusing on data pipelines, automation, and data quality.
You will work with Python and SQL, learn to validate data, and explore AI-driven approaches to automate tasks. The role requires English communication, teamwork, and a Bachelor's or Master's in Data Science, CS, or a related field.
About ICIS
ICIS is a global leader in commodity intelligence, providing trusted data, analytics and expert insights across the global chemical and energy markets. We help organisations navigate complex and rapidly changing markets, enabling smarter, faster and more confident business decisions.
Trusted by more than 6,000 organisations in over 100 countries, ICIS combines independent pricing data, market intelligence and deep industry expertise to help customers manage risk, identify opportunities and optimise their strategies. With a global team and a strong culture of curiosity, collaboration and innovation, ICIS is part of LexisNexis Risk Solutions, within RELX, a global provider of information-based analytics and decision tools
About the Role
As part of the Analytical Data Engineering team, you will contribute to the development of a modern data platform with a focus on:
You will work closely with experienced data engineers and analysts to build and improve data pipelines, manage large datasets, and support the delivery of trusted, business-ready data products across the organization.
Responsibilities:
Requirements:
We Offer:
Primary Location Base Pay Range: Germany - Karlsruhe €17,200 - €28,700.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.