Data Engineer

The Language team is responsible for the semantic layer of the Gropyus Data Fabric as well as data modeling and transformation for self-service analytics. You will work 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.

What you'll do

• Design data models to formalize concepts from various architecture and construction domains.
• Contribute to the logic to transform and enrich 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.

What you'll need

• Experience with programming languages like Python or Kotlin.
• Experience with query languages like SPARQL or SQL.
• Experience with data reporting tools like PowerBI, Tableau, or Quick Sight.
• Experience with databases like Postgres, BigQuery, Spark, or Graph DB.
• 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.
• Data modeling experience through semantic or Business Intelligence development.
• Experience following best practice guidelines in data and software engineering.

Nice to have

• Knowledge of semantic layer or ontologies.
• Experience with graph technologies and triples.
• Background in Data Science, Machine Learning and AI agents.

What they offer

• Be part of reinventing construction and sustainable, affordable living.
• Tremendous amount of ownership and room to make a mark at all organizational levels.
• Work from anywhere—home, park, or office—with flexible hours focused on results.
• Work in international teams with colleagues from diverse industries and backgrounds.
• Participate in the success of GROPYUS through stock options.