Head of Data Engineering at Realiste AI

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About the job

Posted on

Apr 12, 2024

Apply before

May 12, 2024EXPIRED

Job type

Full-Time

Category

Location

Worldwide

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Job Description

This job posting has expired and no longer accepting applications.

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 100s 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

 

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

 

To begin the process:

1. Apply for this position.

2. Once you are referred to the onboarding page, complete the form by providing the required information and complete the onboarding tasks. Ensure that you fill in all the necessary fields accurately.

Please mention that you found the job on Real Work From Anywhere, this helps us grow. Thanks.

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