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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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    London, United Kingdom
    Found 1 month ago
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Summer Internship - AI‑Native Data Platform Engineering

Tower Peak Partners
Found 1 month ago
Location
London, United Kingdom
Duration (Months)
2.5 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • Azure
  • Snowflake

Soft Skills

  • Strong problem-solving ability with a high degree of rigour and attention to detail in data and engineering work.
  • Ability to think systematically about data quality, reliability, and scalability when designing and maintaining pipelines and platforms.
  • Interest in working at the intersection of technology and investing, and in applying AI and data engineering to real-world investment workflows.
  • Self-starter attitude with the ability to work independently and contribute ideas proactively in a fast-paced, entrepreneurial environment.
  • Clear and concise written and verbal communication, with the ability to explain technical approaches and trade-offs to both technical and non-technical stakeholders.
  • Collaborative mindset and interpersonal maturity, enabling seamless coordination within small, high-performing, cross-functional teams.

Job Description

As the firm continues to scale, Tower Peak Partners is seeking a hands‑on post‑graduate technology intern to join our data engineering and AI platform team. This is an opportunity to work at the intersection of finance, data, and artificial intelligence, contributing directly to the design, build, and deployment of an AI‑native data platform that powers the firm’s investment analytics and automation workflows. This Postgraduate Internship is offered in London for a period of 10 weeks. Interns demonstrating strong performance and alignment with the firm’s values may be invited to join the firm on a full-time basis following the internship. The selection process will consist of one or more interviews with members of the Firm, focused on assessing technical engineering skills, problem-solving ability, motivation, and cultural fit. As part of the process, candidates will be asked to complete a practical exercise designed to evaluate proficiency in programming, data engineering and cloud-based tools, such as Python and SQL, and to prepare a short summary of their approach and findings.

Requirements

  • Strong programming knowledge, preferably in Python, SQL and familiarity with data pipeline frameworks.
  • Experience or coursework related to cloud data platforms, preferably Azure, and modern data stack principles.

Related Field

  • Software Engineering

Related Subfield

  • AI/ML/GenAI Engineering

Nice to Haves

  • Familiarity with private equity, venture capital or financial analytics is an advantage.
▶Apply Now

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