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TRUMPF

Corporate venture capital for deep-tech

Data Engineering and Data Science Intern

Data Science +1Confirmed live in the last 24 hours
InternshipDitzingen, GermanyNo salary listed

About the Job

Requirements

  • Currently studying computer science, physics, mathematics, mechanical engineering, or a comparable field; a focus on data engineering or data science/analytics is desirable.
  • Good to very good knowledge of programming languages such as Python, SQL, or MATLAB.
  • Good communication and teamwork skills, a structured and independent working style, analytical and conceptual abilities, and the ability to learn quickly.
  • High motivation and willingness to learn.
  • Very good German and good English language skills, spoken and written.

Responsibilities

  • Conceptualize, develop, and implement scalable data pipelines and ETL processes in Azure Cloud using tools such as Azure Data Factory, Databricks, or Synapse.
  • Collect, clean, and process large heterogeneous datasets; apply advanced statistical methods and data-mining techniques to identify patterns, anomalies, and drivers.
  • Research, develop, and evaluate machine-learning and artificial-intelligence models for practical problems, and derive optimization measures by comparing model approaches.
  • Develop interactive dashboards and visualizations to communicate analytical results and support operational decisions.
  • Implement data-lifecycle-management strategies, including governance, versioning, monitoring, and data security, to support reproducible and maintainable data products.

Desired Qualifications

  • Initial experience with databases and data processing or visualization tools such as PySpark, pandas, Databricks, or Power BI.
  • Knowledge of applying machine-learning algorithms and tools such as scikit-learn or TensorFlow.
  • A focus in data engineering or data science/analytics.

About the Company

TRUMPF

Corporate venture capital for deep-tech

TRUMPF Venture is the corporate venture capital unit of the TRUMPF Group. It invests globally in early-stage deep-tech startups that complement or are adjacent to TRUMPF’s core business. The selection criteria include strategic fit, high innovation leverage, differentiating technology or business model, an experienced management team, and a path to risk-appropriate financial returns. Its approach combines funding with strategic collaboration, giving portfolio companies access to TRUMPF’s resources, customers, and manufacturing capabilities to accelerate scale. The company differentiates itself by focusing on strategic alignment with TRUMPF, global reach, and a disciplined, value-adding partnership model rather than mere financial investment. The goal is to back startups that can strengthen TRUMPF’s technology landscape and create financially attractive outcomes for both sides.

Company size
5,001-10,000
Company stage
Not listed
Total funding
$498.6M
Headquarters
Ditzingen, Germany
Founded
2016

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