Data Engineer Working Student / Intern (m/f/d)

Timeless is a platform where you can buy limited shares of exclusive assets, such as rare sneakers, watches and luxury cars, and profit from their performance. Help us grow and develop this great product for the 21st century. Invest in #thingsyoulove.

What this role is

You will be embedded in the data and valuation infrastructure of a live alternative asset platform managing 800+ fractionalised collectibles worth over €40M. You will write SQL against production databases, build data pipelines, and translate raw transactional data into investment-relevant findings communicated directly to asset managers and senior leadership.

This is not a spreadsheet-and-slides role. If you want real data, real assets, and real accountability from week one read on.

What you will work on?

• Contribute to an early-stage internal LLM model being designed to assist with asset valuation: a greenfield project with direct input into architecture decisions, data structure, and methodology. 
• Daily Query and maintain production databases (Metabase / PostgreSQL) to track asset financing performance, secondary market trading, and investor behaviour across 10+ collectible categories. 
• Build and own internal dashboards that feed into portfolio steering and drop strategy, ensuring metric definitions are correct, documented, and defensible
• Support the build-out of an AI-assisted valuation engine: structuring a proprietary knowledge base, mapping external market indices (HAGI, Liv-Ex, Whiskystats, WatchCharts), and defining data inputs by asset class
• Conduct comparable transaction analysis and market research to support sourcing and valuation decisions
• Synthesise complex, multi-source datasets into clear, actionable findings for non-technical stakeholders
• Document data logic, valuation assumptions, and internal methodology so institutional knowledge is preserved and scalable

Your Profile: 

• Currently enrolled at top tier technical university in computer science, data science, statistics, quantitative finance, or a closely related field
• Fluent verbally and written in English (C1+), German would be an advantage. 
• Experience with personal coding, or AI project is highly desirable 
• Strong SQL proficiency you will be querying real production tables from day one
• Working knowledge of Python (pandas, data wrangling, basic automation) expected, not optional
• Experience with BI tools (Metabase, Tableau, Looker, or similar)
• The ability to spot a broken metric, trace it to its source, and fix it rigour over polish
• Strong communication skills: translating a query result into a one-paragraph finding a non-technical asset manager can act on is part of the job
• Genuine intellectual curiosity about markets, asset pricing, or investment logic

Nice to have

• Familiarity with blockchain or tokenisation infrastructure
• Experience with financial data APIs or market data sources
• Prior exposure to alternative asset classes watches, wine, whisky, art, cars

What you can expect

• Direct access to a live portfolio of 800+ assets and the production data behind every drop, trade, and exit
• Work alongside asset managers and senior leadership on decisions with real investor impact
• A front-row seat to how alternative asset tokenisation works in practice — the data architecture, pricing logic, market cycles, and regulatory constraints (MiCAR)
• Short decision-making paths, no bureaucracy, real ownership



How to apply

Send your application to [email protected].

Phu An will be your main point of contact throughout the recruitment process.

Shortlisted candidates will be invited to:

1. Coding Test: a take-home technical assessment covering SQL and Python
2. Analytics Interview: a second-round conversation with the analytics department
3. Management Round: a final interview with the Timeless management team

About Timeless

Timeless Investments is headquartered in Berlin and operates at the intersection of alternative investments, blockchain infrastructure, and consumer behaviour. We fractionalise rare collectibles into shares accessible from €50,  and we use data to make better sourcing, pricing, and exit decisions every day.

Contact: [email protected]