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Data Engineer(m/w/x)
Designing data models for modular construction and smart living architecture, enriching centralized data for ML/AI at a smart living modular construction firm. Python or Kotlin programming, SPARQL/SQL, and Graph DB experience essential. Flexible work hours, stock options.
Requirements
- Experience with similar tech stack
- Programming languages Python or Kotlin
- Query languages SPARQL or SQL
- Data reporting PowerBI, Tableau, or QuickSight
- Databases Postgres, BigQuery, Spark, or Graph DB
- Experience with Cloud Storage Platforms
- Strong problem-solving and analytical skills
- Experience resolving data discrepancies
- Strong data modeling experience
- Knowledge of semantic layer or ontologies
- Experience with graph technologies and triples
- Experience with construction industry data
- Knowledge of Data Science, ML, and AI
Tasks
- Design data models for architecture and construction domains
- Develop logic to transform and enrich centralized data
- Support Machine Learning and AI use cases
- Collaborate with experts to deliver high-quality datasets
- Implement data quality, governance, and security standards
- Monitor, test, and document data processes
- Optimize queries and schema design to scale the ecosystem
- Apply development best practices for testing and validation
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Kotlin
- SPARQL
- SQL
- PowerBI
- Tableau
- Quick Sight
- Postgres
- BigQuery
- Spark
- Graph DB
Benefits
Purpose-Driven Work
- Ownership and room to make a mark
Flexible Working
- Flexible work location
- Flexible work hours
Informal Culture
- International teams
Competitive Pay
- Stock options
Not a perfect match?
- GROPYUSFull-timeWith HomeofficeSeniorBerlin
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Data Engineer(m/w/x)
Designing data models for modular construction and smart living architecture, enriching centralized data for ML/AI at a smart living modular construction firm. Python or Kotlin programming, SPARQL/SQL, and Graph DB experience essential. Flexible work hours, stock options.
Requirements
- Experience with similar tech stack
- Programming languages Python or Kotlin
- Query languages SPARQL or SQL
- Data reporting PowerBI, Tableau, or QuickSight
- Databases Postgres, BigQuery, Spark, or Graph DB
- Experience with Cloud Storage Platforms
- Strong problem-solving and analytical skills
- Experience resolving data discrepancies
- Strong data modeling experience
- Knowledge of semantic layer or ontologies
- Experience with graph technologies and triples
- Experience with construction industry data
- Knowledge of Data Science, ML, and AI
Tasks
- Design data models for architecture and construction domains
- Develop logic to transform and enrich centralized data
- Support Machine Learning and AI use cases
- Collaborate with experts to deliver high-quality datasets
- Implement data quality, governance, and security standards
- Monitor, test, and document data processes
- Optimize queries and schema design to scale the ecosystem
- Apply development best practices for testing and validation
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Kotlin
- SPARQL
- SQL
- PowerBI
- Tableau
- Quick Sight
- Postgres
- BigQuery
- Spark
- Graph DB
Benefits
Purpose-Driven Work
- Ownership and room to make a mark
Flexible Working
- Flexible work location
- Flexible work hours
Informal Culture
- International teams
Competitive Pay
- Stock options
About the Company
GROPYUS
Industry
Construction
Description
GROPYUS creates sustainable, affordable, and aspirational buildings for everyone through modular construction and setting a new standard in smart living.
Not a perfect match?
- GROPYUS
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - InterWorks
Data Engineer(m/w/x)
Full-timeRemoteExperiencedBerlinfrom 100,000 / year - deCircle
Data Engineer(m/w/x)
Full-timeRemoteNot specifiedBerlin - GetYourGuide
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - RepRisk AG
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin