Data Engineer (all genders)
GROPYUS
| Company | GROPYUS |
| Category | Engineering |
| Location | Berlin |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 15 Jul 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer career page (greenhouse) |
Description
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 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 everyon
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