Internship

Working Student Data Governance

Posted on 5/12/2026

Scalable GmbH

Scalable GmbH

No salary listed

Berlin, Germany

Hybrid

Category
Data & Analytics (1)
Required Skills
LLM
Python
Git
SQL
REST APIs
Data Governance
DevOps
Requirements
  • You are studying for a Bachelor's or Master's degree in computer science, information technology, data science, business informatics or a comparable course of study.
  • You already have some experience in SQL and a basic understanding of relational databases, data modeling and API integration.
  • You have experience (or strong interest) in using Python for task automation.
  • You will act as the technical expert in our team, utilizing Git, CI/CD pipelines, and cutting-edge AI/LLM tools to transform manual processes into automated workflows.
  • You are enthusiastic about process automation and have an interest in “governance-as-code” practices.
  • You have a structured, independent and responsible working style, and collaborative communication skills.
  • You love to dig into problems and find elegant solutions.
  • You enjoy working in a team and learning new things.
  • You have an excellent command of written and spoken English.
  • Availability from 16-20h / week.
Responsibilities
  • You will contribute to "Data Governance-as-Code" initiatives by helping to automate governance checks as part of the software development lifecycle used by engineering teams to enforce continuous compliance for our data assets
  • You will use your automation expertise to support organisation-wide initiatives focused on data protection and meeting regulatory requirements including EU GDPR and DORA
  • You will apply your technical skills, like Python and SQL, to automate routine data management tasks, such as performing checks to ensure data is correctly labeled and categorised, which is crucial for identifying and handling sensitive information in line with German and EU regulations like GDPR
  • You will support the Data Steward in maintaining and updating the central inventory of data assets, making sure information is easy to find (discoverability) and that data ownership is clearly recorded

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INACTIVE