Senior Data Engineer (Remote from EU) Lisboa

Senior Data Engineer (Remote from EU)
Lisboa
Lisboa, Lisboa, Portugal

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About Price
Hubble

Price
Hubble is a European B2B company that builds innovative digital solutions for the financial and real estate industries based on property valuations and market insights. Leveraging big data,
- edge analytics, and great visualization, our product suite brings a new level of transparency to the market, enabling our customers to make real estate and investment decisions based on the most accurate
- driven insights (such as valuations, market analyses, value forecasts, building simulations, or energy performance insights) and enhance dialogue with end consumers. Price
Hubble's digital solutions are designed to help all players across the entire real estate value chain (banks, asset managers, developers, property managers, and real estate agents). Price
Hubble is active in 11 countries (Switzerland, France, Germany, Austria, the United Kingdom, Japan, Netherlands, Belgium, Czech Republic, Slovakia, and the United States) and employs over 200 people worldwide.

The opportunity

At Price
Hubble, we organize our teams into Tribes. Each Tribe is responsible for a specific part of our product, identifying customer needs, creating solutions, and ensuring everything runs smoothly. Each Tribe operates independently, managing all aspects of its area. Engineers rotate between project teams and a group focused on maintenance and technical improvements.

The Property Intelligence Tribe provides insights to make informed real estate decisions, including assessing property values, tracking market trends, evaluating investment opportunities, and improving property management. Our mission is to deliver accurate property information for every residential property in our areas of operation. Tribe members create the unique insights and intellectual property that drive our products.

The Tribe is a distributed team of engineers from 6 nationalities, located in 5 European countries.

As a Senior Data Engineer, you will work on the data systems that drive the core services of our platform. You will design, implement, and maintain data pipelines and services trusted by professionals for assessing residential property values.

The impact you will have

• Work with backend engineers and data scientists to turn raw data into trusted insights, handling everything from scraping and ingestion to transformation and monitoring.
• Navigate
  - value
  - offs to make decisions that deliver value to customers at an appropriate cost.
• Develop solutions that work in over 10 countries, considering local specifics.
• Lead a project from concept to launch with a temporary team of engineers.
• Raise the bar and drive the team to deliver
  - quality products, services, and processes.
• Improve the performance, data quality, and
  - efficiency of our data pipelines at scale.
• Maintain and monitor the data systems your team owns.

Requirements

What we look for

• You focus on reducing complexity and keeping things simple, using our stack to solve problems and prioritizing practical solutions over trendy technologies.
• A
  - oriented mindset and enthusiasm for contributing to
  - facing products. For you, data engineering is a means to an end—delivering value to customers.
• Excellent English communication skills, both spoken and written, to collaborate effectively with
  - functional teams and mentor other engineers. Clear writing is key in our
  - first setup.
• Hands-on, you value writing clear, simple, and maintainable code. You understand that code is read more often than it is written.
• You embrace a growth mindset, always seeking to learn and take on new challenges.
• 3+ years of experience building and maintaining production data pipelines.

Bonus

• Proficient in working with geospatial data and leveraging geospatial features.

We're actively seeking applications from candidates of all backgrounds.

Benefits

• Join an ambitious and hungry team and enjoy a competitive salary.
• Learning & Development program to support your skills and personal growth.
• Very
  - located offices with a great remote work policy and the possibility to work from different places.
• Flexible working hours and
  - life balance.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting