<div>About The Company GROPYUS creates sustainable, affordable, and aspirational buildings for everyone through modular construction and setting a new standard in smart living.</div>About The RoleWe are growing our Data Language Team within the Gropyus Tech department. The Data Language team is responsible for semantics, modeling, and data quality for our cross functional platform, the Gropyus Data Fabric.The Data Language 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. What you will be doing:As part of our Data Language team you will:<ul><li>Design data models to formalize concepts from various architecture and construction domains.</li><li>Contribute to the logic to transform and enrich our centralized data for self-service analytics</li><li>Collaborate with our Data Platform to integrate data flows and processing for our products and services.</li><li>Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets.</li><li>Implement and uphold data quality, governance, and security standards, including monitoring, testing, and documentation.</li><li>Drive adoption of best practices in data modeling and management</li><li>Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc)</li><li>Contribute to best practices and rigor in development including governance, testing, and validation</li><li>Mentor and guide team members to elevate engineering rigor and technical capability.</li></ul>What you bring:<ul><li>Experience working with a tech stack similar to:<ul><li>Programming languages like Python or Kotlin.</li><li>Databases like Postgres, BigQuery, Spark, Graph DB</li><li>Cloud infrastructure like AWS, Azure, Kubernetes.</li></ul></li><li>You have 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</li><li>You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling</li><li>You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics</li></ul>Optional Experience:<ul><li>Some knowledge about semantic web technologies like RDF and OWL</li><li>Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege</li><li>Experience working with construction industry data and / or complex and large datasets</li><li>Data Science, Machine Learning and AI agents</li></ul>What we offer:<ul><li>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. </li><li>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.</li><li>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.</li><li>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 everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.</li><li>Be an owner: Participate in the success of GROPYUS through stock options.</li></ul><div>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. We can't wait to get to know you.  For more information, visit our <a href="https://gropyus.com/">website</a>, and if you have any questions, please reach out to us via <a href="mailto:careers@gropyus.com">email</a>.</div>

GROPYUS advances the development of sustainable buildings. We transform the construction industry through technology. By looking at homes as products we are able to create truly sustainable and affordable buildings. Sustainability permeates every step of the building process: design, production, construction, and asset management. We create a new standard of sustainable living for people and conserve the resources of our planet.

Senior Data Engineer

<div>About The Company GROPYUS creates sustainable, affordable, and aspirational buildings for everyone through modular construction and setting a new standard in smart living.</div>About The RoleWe are growing our Data Language Team within the Gropyus Tech department. The Data Language team is responsible for semantics, modeling, and data quality for our cross functional platform, the Gropyus Data Fabric.The Data Language 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.&nbsp;What you will be doing:As part of our Data Language team you will:<ul><li>Design data models to formalize concepts from various architecture and construction domains.</li><li>Contribute to the logic to transform and enrich our centralized data for self-service analytics</li><li>Collaborate with our Data Platform to integrate data flows and processing for our products and services.</li><li>Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets.</li><li>Implement and uphold data quality, governance, and security standards, including monitoring, testing, and documentation.</li><li>Drive adoption of best practices in data modeling and management</li><li>Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc)</li><li>Contribute to best practices and rigor in development including governance, testing, and validation</li><li>Mentor and guide team members to elevate engineering rigor and technical capability.</li></ul>What you bring:<ul><li>Experience working with a tech stack similar to:<ul><li>Programming languages like Python or Kotlin.</li><li>Databases like Postgres, BigQuery, Spark, Graph DB</li><li>Cloud infrastructure like AWS, Azure, Kubernetes.</li></ul></li><li>You have 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</li><li>You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling</li><li>You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics</li></ul>Optional Experience:<ul><li>Some knowledge about semantic web technologies like RDF and OWL</li><li>Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege</li><li>Experience working with construction industry data and / or complex and large datasets</li><li>Data Science, Machine Learning and AI agents</li></ul>What we offer:<ul><li>Be part of something big:&nbsp;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.&nbsp;</li><li>It’s on you:&nbsp;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.</li><li>Focus on results:&nbsp;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.</li><li>Bring your uniqueness to the team:&nbsp;Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.</li><li>Be an owner:&nbsp;Participate in the success of GROPYUS through stock options.</li></ul><div>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. We can't wait to get to know you.&nbsp; For more information, visit our&nbsp;<a href="https://gropyus.com/">website</a>, and if you have any questions, please reach out to us via&nbsp;<a href="mailto:careers@gropyus.com">email</a>.</div>

Senior Data Engineer

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Gropyus

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