Senior Data Engineer

About the role

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric. 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, solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.

What you'll do

• Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers
• Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks
• Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets
• Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc)
• Mentor and guide team members to elevate engineering rigor and technical capability

What you'll need

• Experience working with a tech stack similar to: Programming languages like Python or Kotlin, Databases like Postgres, BigQuery, Spark, Graph DB, Tools like Kubernetes, Docker, Terraform, Dagster, DBT, and Cloud Storage Platforms
• Strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects
• Experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling
• Experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics

Nice to have

• Some knowledge about semantic web technologies like RDF and OWL
• Experience with ontology engineering and knowledge engineering topics, including using ontology engineering tools such as Protege
• Experience working with construction industry data and/or complex and large datasets
• 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 organization levels
• Flexible work arrangements – work from home, office, or anywhere you choose
• Work in international teams with passionate colleagues from diverse industries and backgrounds
• Participate in the success of GROPYUS through stock options