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Important information
Contract type:
Freelance
Daily rate:
Salary according to profile
Location:
Paris, France
Starting date:
2 to 4 weeks
Work mode:
Onsite, Hybrid, Remote
Published on:
8 June 2026
What they need
Context
Elaia Partners is a European venture capital fund strengthening the first layer of its data infrastructure: a centralized, governed repository that consolidates portfolio and fund data from four primary sources across portfolio management, fund accounting, valuation, and banking/cash flow systems.
The goal is to create a single source of truth that can be queried by internal teams through Claude and other AI agents, while ensuring strict data access control at every level — including when queries come through automated agents.
This is Phase 1 of a broader data platform project. The focus is on connectivity, storage, data governance, custom financial calculations, and secure data exposition.
Missions
The engineer will be responsible for:
- Connecting four data sources into a single repository:
- A portfolio CRM system
- A portfolio management system
- A banking / cash flow data source
- Defining update and storage rules:
- Ingestion frequency: daily, quarterly, on-demand
- Versioning strategy and data retention policies
- Storage layer structure: raw / staging / certified marts
- Implementing Access Control Lists (ACLs) to ensure that every user — including when querying through Claude or other AI agents — can only access data they are authorized to see. ACL enforcement must apply at the data layer, not just at the application layer.
- Building financial calculations:
- Fund-level: DPI (gross and net), TVPI (gross and net), IRR (gross and net), MOIC, J-curve
- NAV (per fund and per share class), A share values and carried interest mechanics
- Management fee calculations, capital calls and distributions tracking
- Portfolio company KPIs: revenue, EBITDA, EBITDA margin, growth rates, ownership %, current and projected valuations
- Time series on all key metrics at quarterly granularity
- Exposing the data by delivering a structured, documented, queryable data layer suitable for consumption by internal tools and AI agents.
Tools & Environment
- Cloud infrastructure
- SQL and Python
- Modern transformation layer (dbt or equivalent)
- RBAC / ACL systems at the database level
- REST APIs and file-based sources (CSV, XML, Excel)
- Financial data structures and fund mechanics (VC/PE context)
- Coding Agents principles, coding rules, CI/CD
Working Conditions
- Format: Freelance / mission-based
- Duration: Phase 1 — to be discussed
- Availability: Near-term start preferred
- Location: Paris
- All data and infrastructure hosted in the European Union (GDPR compliance)
- Deliverables must be documented and maintainable
- Strict confidentiality applies to all data and project materials
Profile wanted
- Experience in building complex data pipelines
- Strong experience with cloud infrastructure
- Proficiency in SQL and Python
- Experience with a modern transformation layer (dbt or equivalent)
- Experience designing and implementing RBAC / ACL systems at the database level
- Ability to work with REST APIs and file-based sources (CSV, XML, Excel)
- Understanding of financial data structures and fund mechanics (VC/PE context a strong plus)
- Experience building production-grade products with Coding Agents (design principles, coding rules, CI/CD)
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