Data Engineer (Construction)

TL;DR

Data Engineer (Construction): Designing data models and semantic layers for a Data Fabric to enable self-service analytics within a sustainable construction company with an accent on data transformation, enrichment, and domain formalization. Focus on building high-quality datasets, supporting AI/ML use cases, and integrating data from diverse domains like IoT and building planning.

Location: Berlin, Germany. Flexibility to work from home, a park, or the office.

Company

hirify.global is a technology-based construction company focused on building sustainable, affordable multi-story residential buildings using prefabricated systems and digitalized processes.

What you will do

• Design data models to formalize concepts from various architecture and construction domains.
• Develop logic to transform and enrich centralized data for self-service analytics.
• Support Data Science use cases, including Machine Learning and AI agents.
• Collaborate with domain experts and software engineers to deliver high-quality datasets.
• Implement and maintain data quality, governance, and security standards.
• Apply software engineering best practices for documentation, testing, and validation.

Requirements

• Proficiency in programming languages such as Python or Kotlin.
• Experience with query languages including SQL and SPARQL.
• Experience with databases such as Postgres, BigQuery, Spark, or Graph DB.
• Knowledge of data reporting tools like PowerBI, Tableau, or Quick Sight.
• Proven data modeling experience through semantic or Business Intelligence development.
• Ability to complete work under guidance from senior engineers or leadership.

Nice to have

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

Culture & Benefits

• Opportunity to reinvent the construction industry and promote sustainable living.
• High degree of ownership and autonomy to drive and test your own solutions.
• Flexible work-from-anywhere arrangement (home, office, or outdoors).
• Collaborative international environment with diverse teams.
• Equity participation through stock options.