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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

22Open Positions

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    München, Germany
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Long Term Internship 2026 – Data Platform Business Developer

B&P Professionals
Found 1 month ago
Location
London, United Kingdom
Duration (Months)
12 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • relational databases
  • object-oriented programming
  • data schemas
  • ETL flows
  • scalable applications
  • Java

Soft Skills

  • analytical and problem-solving mindset
  • collaborative and dynamic environment
  • communication and interpersonal skills
  • Attention to detail
  • delivery-oriented approach
  • Ability to learn quickly
  • adapt to evolving requirements

Job Description

We are looking for an intern to support our risk data integration activities. The intern will work on the ingestion and transformation of risk sensitivities from various front‑office risk engines into the Data Platform’s data warehouse. This internship is ideal for a student wishing to gain hands‑on experience with Python development, data engineering concepts, and financial risk datasets within a complex, high‑performance environment. The role involves working closely with developers, analysts and product owners to understand functional requirements and deliver well‑structured, reliable code.

Requirements

  • Enrolled in a Master’s program in Computer Science, Data Engineering, Finance or related fields.
  • Strong interest in risk data, financial markets, or large‑scale data processing.
  • Good understanding of Python and its ecosystem.
  • Knowledge of SQL and relational databases.
  • Understanding of object‑oriented programming.
  • Ability to write clean and readable code.
  • Interest in data schemas, ETL flows and scalable applications.
  • Unit‑testing or debugging experience is a plus.
  • Knowledge/Skills/Experience Required:
  • Strong analytical and problem‑solving mindset.
  • Motivation to work in a collaborative and dynamic environment.
  • Strong communication and interpersonal skills.
  • Attention to detail and delivery‑oriented approach.
  • Ability to learn quickly and adapt to evolving requirements.

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Languages

  • English

Nice to Haves

  • Unit-testing
  • debugging experience
  • risk sensitivities
  • financial products
  • data validation
  • data management practices
  • Java
▶Apply Now

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