Saas Data Engineer/Data Pipeline Developer - Internship

Estate Atlas is on a mission to make global property markets more transparent,
accessible, and data-driven. We are a Data-as-a-Service (DaaS) startup
providing investors, institutions, and professionals with the accurate and
actionable international real estate data needed to make critical decisions.
By aggregating and standardising information from a vast array of global
sources, we are building the world's leading platform for international real
estate intelligence.

The opportunity:

This is more than a job; it's an opportunity to be a foundational member of
our technical team. As the Founding Data Engineer, you will be the architect
and builder of our most critical asset: our data pipeline. You will have the
unique challenge of designing and implementing the systems that ingest,
process, and standardise real estate data from over 100 countries. You will be
instrumental in solving the complex problem of turning messy, disparate global
data into a clean, reliable, and powerful product.

Selected intern's day-to-day responsibilities include:

1. Work closely with the founder to lead the design, build, and maintain our
core data integration and ETL/ELT pipelines from the ground up into our MySQL
database.
2. Develop robust connectors to ingest data from a wide variety of sources,
including government APIs, central bank databases, and third-party data feeds.
3. Build and manage a scalable, ethical web scraping infrastructure to
extract data from public sources like real estate portals and news sites.
4. Implement rigorous data quality, validation, and cleaning processes to
ensure the accuracy and reliability of our data.
5. Create transformation logic to standardise diverse international data,
including handling currency conversions, unit standardisation (e.g., sq ft vs.
sq m), and geographical mapping.
6. Play a key role in defining our data acquisition strategy, assessing the
feasibility and legality of sourcing data from various channels.
7. Own the data lifecycle from raw extraction to its final, query-ready state
in our data warehouse.

Work schedule:

Full-time stipend: 10,000 - 20,000 (performance-based) (paid)

Internship duration:
3months. This position is fully remote