Mimacom AG
Data Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Zürich
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RERepRisk AG
Senior Data Engineer(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Architecting and building Databricks lakehouse solutions for a DaaS company focused on reputational risks. Proven Dimensional Data Modelling and Data Vault experience essential. Flexible working hours, state-of-the-art open-source technologies.
Anforderungen
- Bachelor's Degree in computer science or related STEM field
- 5+ years hands-on Data Engineering experience
- Strong Python and SQL proficiency
- Solid Batch and stream processing experience
- Proven Dimensional Data Modelling and Data Vault experience
- Data Orchestration tools experience
- Familiarity with data quality and validation frameworks
- Metadata tools integration experience
- Strong version control (Git) and CI/CD understanding
- Cloud platforms experience (AWS preferred)
- Practical Data Lakehouse concepts and technologies experience
- Proactive mindset, strong ownership, initiative, drive
- Strong communication skills, professional English proficiency
- BPM software workflow configuration delivery
- ML teams experience, ML/DL/NLP concepts familiarity
- Valid work permit
Aufgaben
- Architect, build, and scale a modern data platform
- Lead design and delivery of enterprise data infrastructure
- Architect Databricks lakehouse solutions
- Implement Databricks lakehouse solutions
- Design, build, and maintain scalable ELT pipelines
- Develop and optimize streaming and batch data pipelines
- Tune data platform performance
- Optimize data platform costs
- Govern cluster and compute resources
- Define and enforce data contracts and schemas
- Define and enforce data governance standards
- Ensure data quality, observability, and lineage
- Collaborate with data scientists and analysts
- Deliver reliable, self-serve data products
- Establish and champion data engineering best practices
- Establish and champion data engineering standards
- Establish and champion reusable frameworks
- Stay current with Databricks ecosystem
- Stay current with lakehouse trends
- Stay current with data engineering patterns
- Participate in code reviews
- Maintain high quality, performance, and security standards
- Engage in Agile/Scrum ceremonies
- Contribute architectural insights
- Provide technical direction to the team
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- AWS Glue
- dbt
- Kafka
- Airflow
- Dagster
- Great Expectations
- SODA
- Collibra
- OpenMetadata
- Git
- CI/CD
- AWS
- Databricks
- Snowflake
- Camunda
Benefits
Flexibles Arbeiten
- Flexible working hours
Weiterbildungsangebote
- Skill development
Sonstige Vorteile
- Team support
Startup-Atmosphäre
- Agile development ecosystem
Moderne Technikausstattung
- State-of-the-art open-source technologies
Lockere Unternehmenskultur
- Entrepreneurial, international, and dynamic work environment
- Diverse company culture
Sinnstiftende Arbeit
- Shared mission
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens RepRisk AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Zühlke Engineering AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorSchlieren - Zühlke Engineering AG
Advanced Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenSchlieren - Zühlke Engineering AG
Lead Data Architect(m/w/x)
Vollzeitmit HomeofficeSeniorSchlieren - RepRisk AG
Senior Machine Learning Platform Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorZürich
RERepRisk AG
Senior Data Engineer(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Architecting and building Databricks lakehouse solutions for a DaaS company focused on reputational risks. Proven Dimensional Data Modelling and Data Vault experience essential. Flexible working hours, state-of-the-art open-source technologies.
Anforderungen
- Bachelor's Degree in computer science or related STEM field
- 5+ years hands-on Data Engineering experience
- Strong Python and SQL proficiency
- Solid Batch and stream processing experience
- Proven Dimensional Data Modelling and Data Vault experience
- Data Orchestration tools experience
- Familiarity with data quality and validation frameworks
- Metadata tools integration experience
- Strong version control (Git) and CI/CD understanding
- Cloud platforms experience (AWS preferred)
- Practical Data Lakehouse concepts and technologies experience
- Proactive mindset, strong ownership, initiative, drive
- Strong communication skills, professional English proficiency
- BPM software workflow configuration delivery
- ML teams experience, ML/DL/NLP concepts familiarity
- Valid work permit
Aufgaben
- Architect, build, and scale a modern data platform
- Lead design and delivery of enterprise data infrastructure
- Architect Databricks lakehouse solutions
- Implement Databricks lakehouse solutions
- Design, build, and maintain scalable ELT pipelines
- Develop and optimize streaming and batch data pipelines
- Tune data platform performance
- Optimize data platform costs
- Govern cluster and compute resources
- Define and enforce data contracts and schemas
- Define and enforce data governance standards
- Ensure data quality, observability, and lineage
- Collaborate with data scientists and analysts
- Deliver reliable, self-serve data products
- Establish and champion data engineering best practices
- Establish and champion data engineering standards
- Establish and champion reusable frameworks
- Stay current with Databricks ecosystem
- Stay current with lakehouse trends
- Stay current with data engineering patterns
- Participate in code reviews
- Maintain high quality, performance, and security standards
- Engage in Agile/Scrum ceremonies
- Contribute architectural insights
- Provide technical direction to the team
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- AWS Glue
- dbt
- Kafka
- Airflow
- Dagster
- Great Expectations
- SODA
- Collibra
- OpenMetadata
- Git
- CI/CD
- AWS
- Databricks
- Snowflake
- Camunda
Benefits
Flexibles Arbeiten
- Flexible working hours
Weiterbildungsangebote
- Skill development
Sonstige Vorteile
- Team support
Startup-Atmosphäre
- Agile development ecosystem
Moderne Technikausstattung
- State-of-the-art open-source technologies
Lockere Unternehmenskultur
- Entrepreneurial, international, and dynamic work environment
- Diverse company culture
Sinnstiftende Arbeit
- Shared mission
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens RepRisk AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
RepRisk AG
Branche
IT
Beschreibung
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct.
Noch nicht perfekt?
- Mimacom AG
Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorZürich - Zühlke Engineering AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorSchlieren - Zühlke Engineering AG
Advanced Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenSchlieren - Zühlke Engineering AG
Lead Data Architect(m/w/x)
Vollzeitmit HomeofficeSeniorSchlieren - RepRisk AG
Senior Machine Learning Platform Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorZürich