Staff Data Engineer
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Full-time
USD75.4K - 100K/year
~COP150M - 200M/year
+ Equity
+ Bonuses
Posted about 3 years ago
Responsibilities
PriceHubble is a PropTech company with over 200 employees, set to radically improve the understanding and transparency of real estate markets based on data-supported insights. We aggregate and analyze a wide variety of large scale datasets, and apply state-of-the-art machine learning to generate high-quality valuations and predictive analytics for the real estate market. We are headquartered in Zürich, with offices in Berlin, Hamburg, Paris, Vienna, Prague and Tokyo. We work on international markets and we are backed by world-class investors. We have a startup environment, low bureaucracy, and an international team and business.
You will be part of the Data Products team, responsible for designing and improving the architecture, and guiding the engineering of several of the team’s data products. As an architect, you will have a key role in helping to design and deliver efficient and scalable data products. These products will directly integrate into our customer workflows as well as support key functions of the applications we offer them, and you will have a direct hand in ensuring they are trustworthy, versatile, and fit for purpose.
Responsibilities:
- Design, model and specify datasets that will act as the source-of-truth for PriceHubble’s processes and the activities of PriceHubble’s customers
- Architect, scale and optimize data pipelines and data management systems to deliver those data products
- Track, monitor and improve the performance of these products, and optimize their trustworthiness for their use cases
- Stay at the cutting edge of the industry’s best practices in data design and management, and evangelize these towards the larger technical organization
- Lead technical discussions across the organization through collaboration, including writing and reviewing RFCs, architecture review sessions, tech talks on new technologies as well as retrospectives