Friendsurance
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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RERepRisk AG
Senior Data Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Architecting and scaling Databricks lakehouse solutions with Delta Lake and Medallion architecture for reputational risk data. Proven Dimensional Data Modelling and Data Vault experience required. 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 (Airflow or Dagster)
- Familiarity with data quality and validation frameworks
- Metadata tools integration experience (Collibra, OpenMetadata)
- Strong Git and CI/CD pipelines understanding
- Cloud platforms experience (AWS preferred)
- Practical Data Lakehouse experience (Databricks, Snowflake)
- Proactive mindset, strong ownership, initiative, drive
- Strong communication skills, professional English proficiency
- BPM software workflow configuration experience (Camunda)
- ML teams experience, ML/DL/NLP concepts familiarity
- Valid work permit
Aufgaben
- Architect, build, and scale modern data platforms
- Lead design and delivery of enterprise data infrastructure
- Implement Databricks lakehouse solutions
- Apply Delta Lake and Unity Catalog principles
- Utilize Medallion architecture (Bronze/Silver/Gold)
- Design, build, and maintain scalable ELT pipelines
- Leverage Databricks workflows and Delta Live Tables
- Develop pipelines with Apache Spark
- Develop and optimize high-throughput streaming and batch pipelines
- Use Spark Structured Streaming and Auto Loader
- Tune Databricks data platform performance
- Optimize Databricks data platform costs
- Govern Databricks cluster and compute resources
- Define and enforce data contracts and schemas
- Enforce data governance standards
- Utilize Unity Catalog and Delta Lake for governance
- Ensure data quality, observability, and lineage
- Use Databricks Data Observability tools
- Utilize Great Expectations for data validation
- Collaborate with data scientists, analysts, and platform teams
- Deliver reliable, self-serve data products
- Establish and champion data engineering best practices
- Establish and champion data engineering standards
- Establish reusable data engineering frameworks
- Stay current with Databricks ecosystem developments
- Monitor lakehouse architecture trends
- Track emerging data engineering patterns
- Participate in code reviews
- Maintain high standards for code quality
- Ensure code performance and security
- 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 pipelines
- 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.
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RERepRisk AG
Senior Data Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Architecting and scaling Databricks lakehouse solutions with Delta Lake and Medallion architecture for reputational risk data. Proven Dimensional Data Modelling and Data Vault experience required. 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 (Airflow or Dagster)
- Familiarity with data quality and validation frameworks
- Metadata tools integration experience (Collibra, OpenMetadata)
- Strong Git and CI/CD pipelines understanding
- Cloud platforms experience (AWS preferred)
- Practical Data Lakehouse experience (Databricks, Snowflake)
- Proactive mindset, strong ownership, initiative, drive
- Strong communication skills, professional English proficiency
- BPM software workflow configuration experience (Camunda)
- ML teams experience, ML/DL/NLP concepts familiarity
- Valid work permit
Aufgaben
- Architect, build, and scale modern data platforms
- Lead design and delivery of enterprise data infrastructure
- Implement Databricks lakehouse solutions
- Apply Delta Lake and Unity Catalog principles
- Utilize Medallion architecture (Bronze/Silver/Gold)
- Design, build, and maintain scalable ELT pipelines
- Leverage Databricks workflows and Delta Live Tables
- Develop pipelines with Apache Spark
- Develop and optimize high-throughput streaming and batch pipelines
- Use Spark Structured Streaming and Auto Loader
- Tune Databricks data platform performance
- Optimize Databricks data platform costs
- Govern Databricks cluster and compute resources
- Define and enforce data contracts and schemas
- Enforce data governance standards
- Utilize Unity Catalog and Delta Lake for governance
- Ensure data quality, observability, and lineage
- Use Databricks Data Observability tools
- Utilize Great Expectations for data validation
- Collaborate with data scientists, analysts, and platform teams
- Deliver reliable, self-serve data products
- Establish and champion data engineering best practices
- Establish and champion data engineering standards
- Establish reusable data engineering frameworks
- Stay current with Databricks ecosystem developments
- Monitor lakehouse architecture trends
- Track emerging data engineering patterns
- Participate in code reviews
- Maintain high standards for code quality
- Ensure code performance and security
- 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 pipelines
- 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
FinancialServices
Beschreibung
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct.
Noch nicht perfekt?
- Friendsurance
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