About the Company:
Realiste AI is a pioneering force in the real estate investment sector, boasting a unique global position. Our revolutionary product fuels our rapid expansion, likening us to the "Google of real estate investments."
The Realiste platform facilitates seamless real estate investments for private and institutional investors worldwide. Powered by advanced AI algorithms, it evaluates and ranks investment opportunities based on factors such as projected ROI, growth forecasts, and market dynamics.
We offer an exclusive array of real estate properties from institutional sellers, including developers, banks, funds, and companies. While our primary focus is on residential properties, we particularly emphasize new developments for their suitability in online transactions.
Founded in the UAE, we are now expanding our footprint into new markets. With real estate data from over 110 cities globally, our platform's expansion is imminent.
Our Working Style:
At Realiste, we prioritize innovation, data-driven solutions, and customer satisfaction. We believe in giving our employees the freedom to act, experiment, and develop their own work systems. We offer efficient training to ensure you're equipped to close deals swiftly. Our team is spread across various cities worldwide, so we're accustomed to remote collaboration and communication.
Responsibilities:
As the Data Analytics Team Lead, you will collaborate with a team to:
- Build and support geo-spatial and real estate analytics assets.
- Develop and maintain scalable data analytics pipelines and ETL processes.
- Work with structured and semi-structured data from numerous sources, transforming them into valuable knowledge assets.
- Become an expert in real estate data, serving as a trusted resource for other teams.
- Create internal reporting systems for the team's use.
- Research and identify new data sources to enhance understanding of the real estate market.
Note: This role primarily focuses on data analytics and reporting, rather than machine learning and AI.
Skills & Experience Required:
To excel in this role, you must have:
- Experience leading teams of data engineers.
- Proficiency in reporting function or ETL using on-premise databases or cloud platforms.
- Expertise in SQL, data transformation, and data pipelines, with a track record of working with large, complex datasets.
- Strong English language skills, both verbal and written.
- Experience with big data analytics tools such as Apache Spark, Databricks, BigQuery, etc.
- Familiarity with data workflow tools like Knime, Alteryx, RapidMiner, IBM Modeller, etc.
- Proficiency with data analytics packages.
- Experience or a good understanding of geo-spatial analytics.
- Knowledge of statistics to evaluate valuable information within the noise flow.
What We Offer:
- Above-market compensation, negotiable based on experience.
- Company shares, allowing you to invest in the future of the company and your own future.
- Fast career growth opportunities within our dynamic team.
- Paid accommodation and medical insurance in Dubai.
- Office meals, corporate events every week, and an engaging team culture.
For this role, we encourage candidates to relocate to Dubai, where our core team and company founders are currently located. However, for exceptional candidates, we may consider remote or semi-remote options. We are seeking individuals who are dedicated to our mission of building a new unicorn.
Company Principles and Culture:3
- Our clients come first. We always prioritize their interests over ours. We only win when our clients win. If our clients lose, we lose too.
- Our AI provides our clients with an advantage over traditional investment methods. We aim to double our clients' earnings while minimizing risks.
- Always act in the company's interests, not your personal interests.
- Culture is important. Avoid working with unpleasant people - they won't take responsibility for their words and actions.
- Always make sure the unit economics are positive.
- Take action to prevent downtime.
- We treat everyone equally, regardless of age, religion, orientation, nationality, or political views.
- Every employee must be a shareholder. Share distribution is based on excellent work, and employees can also buy shares at a special price.
