Data Analyst Intern
Engage is building a property transaction operating system in the UAE and seeks a Data Analyst Intern to work on a data‑integrity project. The role involves cleaning, validating, and visualizing real‑estate data using tools such as SQL, Python, and Excel.
Skills required
About this role
We are making every property transaction transparent, fast, and fair for everyone it touches. 🏡✨
Property is one of the largest, slowest, most opaque markets in the world. A typical UAE transaction involves a buyer, a seller, two agents, a brokerage, a developer, a bank, a regulator, and weeks of friction across them. Most of that friction exists because the underlying product is bad - fragmented data, manual handoffs, and incentives misaligned with the people the product is supposed to serve. We're rebuilding that infrastructure. 🔧
Engage is the operating system for how property gets bought, sold, and rented in the UAE. 🇦🇪 We're owned by Cencorp Group and embedded inside some of the country's largest brokerages - betterhomes, CRC, Linda's - which means our product touches a meaningful share of every property transaction in Dubai.
This isn't a typical internship where you shadow and observe. Your first assignment is a real data-integrity project: we're evaluating a new property data API against our current source, and need to know whether it can be trusted before we rely on it. You'll pull data from both APIs across every area of Dubai, build a methodology to match records between them, and tell us where the two sources agree, where they don't, and why.
When you're rebuilding infrastructure that brokers and agents depend on, the quality of the data underneath it is the difference between a product that earns trust and one that loses it. That's what this role contributes to.
You'll be working on a live, real-stakes project from day one - not a sandbox exercise - with a clear deliverable the business will actually use to make a decision.
What we're offering
🧑🏫 Active coaching from the product and engineering teams, who are deeply invested in your growth, skill development, and resume building.
👀 Direct exposure to how a product team evaluates and trusts data sources.
💪 Real ownership over a reconciliation report and recommendation the business will act on.
📄 A portfolio of real analytical work - methodology, code, and a report - you can take with you.
🤜🤛 Cross-functional experience working with Product, Engineering, and Customer Success.
The basics
- Location: Dubai, onsite
- Duration: 3 months
- Start date: 1 September 2026
- Compensation: Unpaid - see what we're offering above
What you'll do
- Connect to two property data APIs (current source and candidate source) and pull structured data across all Dubai areas.
- Design and build a matching methodology to reconcile property records between the two sources.
- Quantify match rates and categorize discrepancies, area by area.
- Produce a reconciliation report and a clear recommendation on whether the new source is ready to rely on.
- Once this is done, move on to broader market analysis and reporting work.
What you'll have
- Comfortable calling REST APIs (Python requests, or Postman) and handling pagination, auth, and rate limits.
- Working Python skills, especially pandas.
- Strong Excel skills for reporting.
- Comfortable designing your own approach when the path isn't fully specified.
- Attention to detail and genuine interest in the Dubai property market.
- An AI-first mindset - you're comfortable using AI tools to speed up analysis, scripting, and reporting.
- SQL, experience with fuzzy matching or entity resolution, prior exposure to data pipelines or ETL work, and familiarity with UAE property portals (Property Finder, Bayut, Dubizzle) are all a plus.
If you read this and saw yourself in it - or just found it genuinely interesting - hit the Apply button. 🚀