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Senior Data Engineer

A B2B SaaS company leveraging AI and big data to provide property valuations and market intelligence for real estate and financial professionals.
Data
Senior Software Engineer
Remote
101 - 500 Employees
3+ years of experience
AI · Enterprise SaaS · Real Estate

Job Description

PriceHubble is a rapidly expanding European B2B SaaS company revolutionizing the real estate industry through AI and big data analytics. With a presence in 11 markets across Europe, Asia, and North America, and a team of 200+ professionals, they provide cutting-edge property valuations and market intelligence solutions.

As a Senior Data Engineer in the Property Intelligence Tribe, you'll be part of a diverse, distributed team working across 5 European countries. The role involves designing and implementing data pipelines that power core platform services, transforming raw data into trusted insights for property valuations. You'll collaborate with backend engineers and data scientists, lead projects from conception to deployment, and ensure high-quality delivery of solutions that work across multiple countries.

The position offers an opportunity to make a significant impact on the real estate decision-making process, working with modern technologies and AI tools. You'll be responsible for maintaining and optimizing data systems, considering cost-efficiency and scalability. The company culture emphasizes simplicity, practical solutions, and continuous learning.

This role is perfect for experienced data engineers who combine technical expertise with business acumen, can communicate effectively in a remote-first environment, and are passionate about delivering value through data-driven solutions. With competitive compensation, professional development opportunities, and flexible working arrangements, PriceHubble offers an excellent environment for career growth in the proptech sector.

Last updated a month ago

Responsibilities For Senior Data Engineer

  • Design, implement, and maintain data pipelines and services for property valuations
  • Work with backend engineers and data scientists on data transformation from raw to insights
  • Lead projects from concept to launch with temporary engineering teams
  • Improve performance, data quality, and cost-efficiency of data pipelines at scale
  • Maintain and monitor data systems
  • Navigate cost-value trade-offs in solution development
  • Develop solutions that work across 10+ countries

Requirements For Senior Data Engineer

  • 3+ years of experience building and maintaining production data pipelines
  • Excellent English communication skills
  • Product-oriented mindset
  • Experience in writing clear, simple, and maintainable code
  • Growth mindset and continuous learning attitude
  • AI fluency and daily use of AI tools in development workflow
  • Ability to reduce complexity and keep solutions simple

Benefits For Senior Data Engineer

  • Competitive salary
  • Learning & Development program
  • Well-located offices with remote work policy
  • Flexible working hours
  • Work-life balance

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