Job
- Level
- Erfahren
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Wien
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle designst du Datenmodelle für verschiedene Bereiche der Architektur und Bauindustrie, entwickelst Logik zur Datenanreicherung für Analysen und unterstützt Data Science-Anwendungen wie Machine Learning.
Job Technologien
Deine Rolle im Team
- We are growing our Data Language Team within the Gropyus Tech department. The Language team is responsible for the semantic layer of our Gropyus Data Fabric as well as data modeling and transformation for our self-service analytics.
- 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.
- As part of the Data Language organization, you will:
- Design data models to formalize concepts from various architecture and construction domains.
- Contribute to the logic to transform and enrich our 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.
- Adhere to best practices and rigor in development including documentation, data governance, testing, and validation.
Unsere Erwartungen an dich
Qualifikationen
- Programming languages like Python or Kotlin.
- Query Languages like: SPARQL, SQL.
- Data Reporting like: PowerBI, Tableau, Quick Sight.
- Databases like Postgres, BigQuery, Spark, Graph DB.
- Cloud Storage Platforms.
- Ability to complete work as directed with guidance from senior engineers or leadership.
- Some knowledge about semantic layer or ontologies.
- Data Science, Machine Learning and AI agents.
Erfahrung
- Experience working with a tech stack similar to:
- Experience resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling.
- You have data modeling experience through semantic or Business Intelligence development.
- You have experience following best practice guidelines in data and software engineering.
- Optional Experience:
- Experience with graph technologies and triples.
Unser Angebot
- 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
GROPYUS
Mit dem GROPYUS Building Operating System (BOS) wird Ihr Zuhause oder Gebäude zum Smart-Home. Nutzen Sie die vollständige Kontrolle über Wartung, Planung und Support dank fortschrittener Vernetzungstechnologie.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Bau, Immobilien, Haustechnik
Data Engineer
- Ort
- Wien
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
