PriceHubble is a fast-growing European B2B SaaS company focused on transforming real estate and financial decision-making through AI and big data.
The company operates in 11 markets across Europe, Asia, and North America, with a team of over 200 professionals.
The Senior Data Engineer will work within the Property Intelligence Tribe, responsible for providing insights for informed real estate decisions.
The role involves designing, implementing, and maintaining data pipelines and services that assess residential property values.
Responsibilities include collaborating with backend engineers and data scientists, navigating cost-value trade-offs, and developing solutions for over 10 countries.
The engineer will lead projects from concept to launch, improve data pipeline performance, and maintain data systems.
A focus on simplicity and practical solutions is essential, along with a product-oriented mindset and excellent English communication skills.
The position requires hands-on coding, a growth mindset, and a minimum of 3 years of experience in building and maintaining production data pipelines.
AI fluency is necessary, with daily use of AI tools in the development workflow.
Requirements:
Candidates must have 3+ years of experience building and maintaining production data pipelines.
A strong understanding of AI tools and their application in development workflows is required.
Excellent English communication skills, both spoken and written, are essential for collaboration and mentoring.
Candidates should have a hands-on approach to coding, valuing clear, simple, and maintainable code.
A product-oriented mindset with enthusiasm for contributing to user-facing products is necessary.
A growth mindset and a willingness to continue learning and seek new challenges are important.
Proficiency in working with geospatial data is a bonus.
Benefits:
The position offers a competitive salary to attract top talent.
A Learning & Development program is provided to support skill improvement and personal development.
The company has well-located offices with a great remote work policy, allowing flexibility in work locations.
Flexible working hours are available to promote work-life balance.