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GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability.

About The Role:

We are growing our Data Language Team within the Gropyus Tech department. The Language team is responsible for the semantic layer of our Gropyus Data Fabric as well as data modeling and transformation for our self-service analytics.

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.

As part of the Data Language organization, you will:

Design data models to formalize concepts from various architecture and construction domains.

Contribute to the logic to transform and enrich our centralized data for self-service analytics

Support Data Science use cases including Machine Learning and AI

Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets.

Implement and uphold data quality, governance, and security standards, including monitoring, testing, and documentation.

Adhere to best practices and rigor in development including documentation, data governance, testing, and validation

About You:

Experience working with a tech stack similar to:

Programming languages like Python or Kotlin

Query Languages like: SPARQL, SQL

Data Reporting like: PowerBI, Tableau, Quick Sight

Databases like Postgres, BigQuery, Spark, Graph DB

Cloud Storage Platforms

Ability to complete work as directed with guidance from senior engineers or leadership

Experience resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling

You have data modeling experience through semantic or Business Intelligence development

You have experience following best practice guidelines in data and software engineering

Optional Experience:

Some knowledge about semantic layer or ontologies

Experience with graph technologies and triples

- Data Science, Machine Learning and AI agents

What we offer:

Be part of something big: You're here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living.
It's on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.
Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.
Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other's full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.
Be an owner: Participate in the success of GROPYUS through stock options.

Join us on our mission to design buildings as continuously evolving products to create the most exciting and affordable experience for all. We build for people and conserve the resources of our planet.

We can't wait to get to know you.
For more information, visit our website, and if you have any questions, please reach out to us via email.

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