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Data Engineering Intern

Finz
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Finz is building AI-native operating finance for real economy businesses. We help operators get better control over cash, costs, and margin by connecting finance with daily operations.

We are looking for a Data Engineering Intern to help build a multi-tenant data lakehouse from the ground up. This role is best suited for a Master’s student, recent graduate, or early-career data engineer with hands-on experience in data engineering, cloud data systems, and analytical data modeling.

You will work on the core data foundation: ingestion, storage, data cleaning, reconciliation, governance, master data management, entity resolution, and trusted serving layers.

What You’ll Do

- Help build a multi-tenant data lakehouse architecture from scratch
- Design raw, cleaned, curated, and serving data layers
- Build ETL/ELT pipelines using Python and SQL
- Model structured business data for reporting, workflows, and downstream AI systems
- Implement data quality checks, validation rules, and reconciliation logic
- Build master data models for companies, locations, vendors, customers, products, accounts, and transactions
- Support entity resolution across messy and duplicate records
- Design tenant-safe data structures for multiple businesses and portfolios
- Create audit-friendly tables with lineage, timestamps, source tracking, and change history
- Document schemas, data flows, assumptions, and technical decisions

What We’re Looking For

- Master’s student, recent graduate, or early-career data engineer
- 1 to 3 years of hands-on experience in data engineering, analytics engineering, backend engineering, or cloud data systems
- Strong Python and SQL skills
- Hands-on experience with PostgreSQL and AWS S3
- Experience building ETL/ELT pipelines
- Strong understanding of data modeling for analytical and operational data
- Experience with data quality checks and validation frameworks
- Experience with dbt for data transformation and modeling
- Experience with Delta Lake for lakehouse storage and versioned data
- Understanding of multi-tenant data architecture
- Exposure to entity resolution or master data management
- Strong documentation habits and ability to work independently

Please include a short cover letter highlighting data engineering project you have built and the technical architecture behind it, especially any work related to lakehouse design or multi-tenant systems.