Data Engineer / Backend Developer

proprty.ai Copenhagen Full-time

Salary Competitive

We're looking for our 9th team member!

Do you thrive creating structure in chaos?

Would you like to take responsibility for shaping the data infrastructure in a growing startup?

Does your Python code run like a well oiled machine, handling massive datasets with ease?

Then proprty.ai might be just the place for you!

The Product

We're building an exciting product to help property owners maintain buildings in a timely, cost-effective, and sustainable manner. We integrate public and private data sources, statistical models, and AI to deliver a modern consumer grade user experience in our app.

The software we’re building includes tools for condition assessment of individual building parts on a property, gathering public data for a building portfolio overview and creating ML & AI models for predicting remaining lifespan and forecasting maintenance cost.

The product went live in 2024, and is solving real problems for real people, and there's SO many things we can do to make it even better!

About Us

Our team consists of eight people, including three App Developers and two Data Scientists, and we’re looking for a Backend Developer/Data Engineer to join us in developing and optimizing our data pipelines, backend services, and integrations. We’re running most of our setup in Databricks on Azure, using Python and SQL for the tasks.

We're a young startup, and we're eager to share our vision for the future with the rest of Denmark and hopefully Europe later this year.

The job

You’ll be the first in proprty.ai in this specific area of expertise. This means that shaping our infrastructure will be a big part of the job.

Your main responsibilities will be:

Evaluate and improve our tech-stack, database structure, and data flow.
Creating structured data using a collection of data from multiple sources.
Integrating new data sources in the current data flow.
Ensuring that data pipelines run flawlessly.
Connect our database and data science setup to both our frontend and external systems.

Most likely, you have educational knowledge and some professional experience doing some of the tasks stated above and have a hunger for paving the way for the data setup in proprty.ai.

Location

We're located in a beautiful historic open office space close to Kongens Nytorv. We usually work from home on Wednesdays.

This position requires you to be in the office most days of the week.

TL;DR

If you have opinions on creating the best data infrastructure and want to be a part of a growing team of young people on a mission to change the industry, apply now.

For more information or questions please contact us at mj@proprty.ai or phone number +4527509648

Perks and benefits

This job comes with several perks and benefits

Near public transit

Paid holiday

Work life balance

Flexible working hours

Social gatherings

Maternity / paternity leave

See all 9 benefits

Working at
proprty.ai

See company profile

proprty.ai is building a service to help Danish property managers leverage machine learning technology to create better condition assessments and maintenance plans. The cost of maintaining the Danish property mass is growing fast, and property managers are struggling to keep up with maintenance and regulatory responsibilities. This is not only hurting the property managers, but also the people using and living in the buildings. The challenge to live up to the EU Taxonomy for Sustainable Activities, is made harder, by not having the tools nor data to make the right strategic choices when planning and executing maintenance. With our service we aim to create property condition assessment and maintenance plans faster and more accurately than what is possible today. Using machine learning algorithms trained on millions of m2 worth of data, we can provide property managers with data to make the right decisions, when it comes to spending resources on maintenance. That way they can cut costs, improve property conditions and push the property mass towards a sustainable future. We're creating an AI powered web platform, that allows property managers to create condition assessments and maintenance plans in a fraction of the time they're using today, by mixing output from our machine learning models with boots on the ground input. It's not only faster. It provides high quality data instead of subjective information. At proprty.ai we've already signed partnerships with 18% of the Danish residential property market. We have a very real problem to solve, and a strong team to do it.