Head of Data Engineering

دوام كامل في a Laimoon Verified Company في UAE

نُشرت يوم October 31, 2024

تفاصيل الوظيفة

About the Company: Realiste is an 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 the real estate market. We want our clients to have convenient and transparent tools to navigate the broad market of available properties in 100s of cities, find the best hidden gems in places where they might have limited knowledge, and be confident it is a good deal that fits their investment strategy.

We are creating the first AI in the real estate market; our company is currently valued at more than US$100 million and we are preparing for an investment round. The global real estate market is valued at tens of trillions of dollars, and we are about to disrupt it and lead the competition. You can be part of this future! You will be working alongside an A-team of likeminded energetic people from different countries ranging from the UK to Australia. Our head office is in Dubai - a vibrant modern city with lots of activities and nightlife.

Our AI department is set to push boundaries by digitizing and structuring as much information about real estate as possible, collecting millions of data points from hundreds of sources, and knitting the very fabric of the knowledge network about the real estate market that our existing and future AI models will learn from. AI is our key competitive advantage, and we are serious about building it to be best in class.

As Head of Data Engineering, your role is to:

Lead our data platform.

Lead a team of data engineers; hire, manage, grow, and nurture your team, starting with few and scaling to tens of team members to match company growth.

Together with your 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 a knowledge expert in real estate data and be a point of trust for other teams.

Build internal reporting for the internal team.

Research and identify new sources of data that can bring value to understanding the 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 a team of data engineers.

You have been responsible for the reporting function or ETL using on-premise databases or cloud platforms.

Expert in SQL, data transformation, and 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 judgments on what is noise and what is usable information.

What We Offer:

Paying above market, package is negotiable based on candidate experience.

Company shares—you invest in the future of the company and your own future.

Fast career growth opportunities.

Paid accommodation and medical insurance in Dubai.

Meals in the office, corporate events every week, and great team to celebrate with.

For this role, we encourage candidates to relocate to Dubai where the 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 effort in and live and breathe our mission to build a 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).

Every employee should be a shareholder.

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