Data Engineer (all genders)

About The Company

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 off‑site construction, and fully digitalised 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, and play 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 modelling 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, and software engineering to solve complex challenges pertaining to end‑to‑end processes for planning, building, and operating a building.

As part of the Data Language organization, you will:

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

• Contribute to the logic that transforms and enriches our centralised 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 with a tech stack similar to: Python or Kotlin, SPARQL, SQL, PowerBI, Tableau, Quick Sight, Postgres, BigQuery, Spark, Graph DB, Cloud Storage Platforms.

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

• Experience resolving data discrepancies and inconsistencies and creating validation and testing to prevent and handle them.

• Data modelling experience through semantic or Business Intelligence development.

• Experience following best‑practice guidelines in data and software engineering.

Optional Experience

• Knowledge of semantic layers or ontologies.

• Experience with graph technologies and triples.

• Experience with data science, machine learning, and AI agents.

What we offer

• Be part of something big: you’re here to make a change. Join us in reinventing construction and sustainable, affordable living.

• Ownership and room to make a mark at all levels of the organisation.

• Focus on results: choose to work from home, a park, or the office. What matters is your contribution and delivery.

• Diversity of thought is essential. We actively seek diversity and strive to unlock each other’s full potential.

• 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.