Data Integration and Database Management Intern

vor 5 Monaten

Berlin, Deutschland XAnge VC Vollzeit

**XAnge VC** - **Berlin or Munich offices**:

- XAnge (xange.vc) is a leading European venture capital firm based in Paris, Berlin, and Munich. With €600M Assets under Management, the company invests in European early-stage innovative technology companies operating in the fields of Digital consumer, Enterprise & Data, Fintech, and Deeptech. Since its creation in 2003, XAnge has backed more than 200 fast-growing companies in their entrepreneurial journeys. The team works alongside visionary founders with strong values and international ambitions such as Ledger, Odoo, Lydia, or Believe Digital.
- Data Integration and Database Management Intern

**Working field**:

- Job description:
We are seeking a highly motivated and detail-oriented intern to join our VC firm and contribute to building our internal data capabilities. As an intern, you will play a crucial role in harmonizing and collecting data from various sources and integrating it with our current software stack.

**Responsibilities**:

- Assist in building and maintaining a centralized database by harmonizing and consolidating data from multiple sources.
- Extract, transform, and load (ETL) data into the database, ensuring accuracy, consistency, and data integrity.
- Collaborate with stakeholders to understand data requirements and implement appropriate data models and structures.
- Conduct data analysis and generate insightful visualizations to support decision-making processes.
- Automate repetitive data tasks and develop data pipelines using Python.
- Integrate our software stack with external systems and services through APIs, including tools like Airtable and Pipedrive.
- Monitor data quality and resolve any discrepancies or issues as they arise.

**Requirements**:

- Qualifications:

- Currently pursuing or recently graduating with a degree in Computer Science, Data Science, Information Systems, or a related field.
- Strong understanding of database management principles and familiarity with SQL.
- Strong understanding/familiarity with cloud infrastructures for storage and computing, such as AWS or Azure.
- Knowledge of Python, experience using its most common data science libraries.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and manage multiple tasks efficiently.
- Prior experience or coursework related to databases, data management, or data analysis is a plus.

**How to apply**:

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