About the Company: Realiste is emerging global prop-tech company with headquarters in Dubai. Here at Realiste we have a mission of creating a digital online platform that will allow people from around the world to find and invest in real estate market. We want our clients to have convenient and transparent tools to navigate broad market of available properties in 110s of cities, find best hidden gems in places they might have limited knowledge of and be confident it is a good deal that fit their investment strategy. We are creating first AI in real estate market, our company is currently valued at more than US$100 millions already and we are preparing for an investment round. Global real estate market is valued at tens of trillions dollars and we are about to disrupt it and lead the competition, you can be part of this future! You will be working alongside A-team of likeminded energetic people from different countries ranging from UK to Australia. Our head office is in Dubai - a vibrant modern city with lots of activities and night life. Our AI department is set to push boundaries by digitising and structuring as much information about real estate as possible, collecting millions of data points from hundreds of sources and knit the very fabric of the knowledge network about real estate market that our existing and future AI models will learn from. AI is our key competitive advantage and we are serous about building it to be best in class As Head of Data Engineering your role is to lead our data platform, lead team of data engineers, hire, manage, grow and nurture your team. Starting with few and growing to tens of team-members to match company scale. Together with team you will:
Be responsible for building and supporting geo-spatial and real estate analytics assets
Build and maintain scalable data analytics pipelines and ETL
Work with structured and semi-structured data from tens to hundreds of data sources transforming them into knowledge assets
Become knowledge expert in real estate data and be point of trust for other teams
Build internal reporting for internal team
Research and identify new sources of data that can bring value to understanding real estate market better
Note : this role is more about data, analytics and reporting, not about machine learning and building AI Skills & experience must have:
Experience leading team of data engineers
You have been responsible for reporting function or ETL using on premise databases or cloud platforms
Expert in SQL, data transformation, data pipelines - you have worked with large complex datasets bringing them together
Proficient in English - both verbal and written even better if you also have:
Experience working with big data analytics tools like Apache Spark, Databricks, BigQuery etc.
Experience in data workflow tools like Knime, Alteryx, RapidMiner, IBM Modeller etc.
Experience with data analytics packages like pandas
Experience or good understanding of geo-spatial analytics
Knowledge in statistics to make judgement on what is noise and what is usable piece of information
Fluency in Russian and English languages is mandatory.
What we offer:
Paying above market, package is negotiable based on candidate experience
Сompany shares, you invest in future of the company and your own future
Fast career growth opportunities
Paid accomodation and medical insurance in Dubai
Meals in the office, corporate events every week and great team to celebrate with
For this role we encourage candidate to relocate to Dubai where core team and company founders are currently located. For exceptional candidates we might consider remote or semi-remote options. We are looking for people who can put their best, leave and breath with our mission to build new unicorn. Company Principles and Culture:
Customers come first for us.
Our AI offers clients advantages over traditional investment methods.
Always act in the company's interests.
Culture matters. Avoid working with dishonest people.
We treat everyone equally, regardless of age, religion, and other factors.
Our clients should earn a return at least twice the market average, with risks at least twice lower than the market average.
Unit economics should always be positive. Always calculate all costs and unit economics (of the business, your time for the company, offers for clients).
Always calculate the real cost of downtime from your inaction and your colleagues for the company and take actions to ensure there is no downtime (this applies to your decisions and inaction).
