Staff Data Engineer
PriceHubble, France
Job Description
About PriceHubble
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.
Your role
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.
You will strive at PriceHubble and in the Data team if you deeply care about the impact your work has on other teams, the customers your products serve and the real-estate industry, and if you take pride in simple, elegant and well crafted solutions, and derive great satisfaction from delivering reliable and usable systems.
Your daily activities
- 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
Your mindset
You enjoy working on a wide range of technical domains and use cases, in an international and multi disciplinary team. You are passionate about learning new things and transferring this knowledge to others. You are an empathetic team player and speak your mind, you measure success by what is accomplished and how others have been enabled by your work.
* We are interested in every qualified candidate who is eligible to work in the European Union and UK but we are not able to sponsor visas.
Requirements
Your experience and skills
- BSc or MSc in computer science or related fields
- Excellent skills in object-oriented programming, data structures and algorithms
- 5+ years of experience in the Python data engineering ecosystem
- Extensive experience with data systems, ML and ML ops in production, at scale (K8s, Kubeflow, Dataproc, Airflow, Spark)
- Experience working with public cloud platforms (AWS, Azure or GCP)
- Excellent skills designing distributed service architectures in a cloud environment
- Strong practice using agile methodologies and devops methods
- Strong data design and modeling skills
- Strong ability to speak with layman leaders, and other engineers or scientists with a specialized profile
- Structured, didactic communicator and able to mentor other engineers and scientists
- Strong oral, written and presentation skills with ability to explain complex concepts clearly to a variety of audiences.
Benefits
Join an ambitious and hungry team and enjoy the following benefits:
Competitive salary because we always want to attract the best talents.
Learning amp; Development program - We want you to feel happy, confident about improving your skills, experience level as well as your personal development success.
Very well-located offices with a great remote work policy and the possibility to work from different places.
Flexible working hours and work life balance.