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 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, 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 the Data Platform organization, you will: - 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 Bring: - 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 - Cloud Storage Platforms - 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 - You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling - 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 Optional Experience: - 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 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 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. - Be an owner: Participate in the success of GROPYUS through stock options. 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 website, and if you have any questions, please reach out to us via email.

• Lead customer data onboarding, including mapping, cleansing, transforming, and importing data from competitor platforms, spreadsheets, and ad-hoc sources • Build and maintain repeatable ingestion processes and scripts using Python, SQLAlchemy, and Postgres • Partner with Customer Success Managers to define data requirements and onboarding timelines • Translate messy, inconsistent customer data into clean internal schemas with accuracy and consistency • Maintain a library of reusable migration utilities, validation scripts, and automation tools • Own internal and external reporting requests requiring SQL or data extraction • Perform one-time data cleanups, corrections, and backfills directly in the SaaS database • Investigate data anomalies and support engineering with root-cause analysis • Improve and maintain ETL pipelines to reduce manual engineering work • Build lightweight automations to streamline recurring operational workflows

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform • Work with large datasets using tools such as BigQuery and Dataflow • Build reliable data models that support analytics and business use cases • Collaborate with consultants, engineers, and client stakeholders in delivery teams • Contribute to best practices in data engineering and cloud-based architectures

• Design and shape the "Intelligence Layer" of the React Native mobile application • Act as a bridge between raw data systems and the React Native engineering team • Define data flow, architecture, system contracts, SDK, and integration strategy • Build a scalable architecture connecting historical data and real-time behavioral data • Create clean technical abstractions for the mobile team to easily consume personalization logic • Define a cross-platform identity strategy ensuring seamless guest recognition • Recommend and justify the optimal combination of CDP, decisioning engine, and analytics tools • Create a global event taxonomy to ensure data consistency across the ecosystem