Almedia
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Berlin
ab 190.000 / Jahr
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DWDWS International GmbH
Engineering Lead - Data Infrastructure(m/w/x)
Berlin
VollzeitVor OrtSenior
Data Science
Nejo KI-Zusammenfassung
Designing and building enterprise data platforms on GCP and Snowflake. Extensive platform engineering experience required. Generous parental leave and childcare support.
Anforderungen
- Extensive experience in platform engineering or adjacent field
- Strong focus on enterprise data platforms
- Degree in Computer Science, Engineering, Information Technology, or related field (plus)
- Very strong expertise in modern data stack
- Expertise in cloud-based data platforms (GCP BigQuery, Snowflake)
- Experience in growing and leading engineering teams
- Extensive experience operating production cloud infrastructure
- Experience in complex enterprise environments
- Proficiency with IaC (e.g. Terraform)
- Proficiency with automation tooling
- Proficiency with orchestration tooling (e.g. dbt, Airflow)
- Good understanding of data governance
- Good understanding of data security
- Good understanding of IT compliance in regulated environments
- Very good programming skills in Python
- Very good programming skills in Java
- Experience with SDLC tools (Git, JIRA, Artifactory, Jenkins/TeamCity, OpenShift)
- Strong problem-solving skills
- Strategic thinking
- Attention to detail
- Proficiency in English
Aufgaben
- Drive design of data platforms
- Build data platforms
- Continuously improve data platforms
- Align with CTO Data
- Lead a high-impact squad
- Set technical direction
- Mentor team members
- Contribute to architecture
- Contribute to code
- Own end-to-end architecture
- Own design of data platform components
- Model data requirements
- Test data requirements
- Collaborate to understand requirements
- Create data stories
- Design data solutions
- Implement data solutions
- Help test data requirements
- Develop testing processes
- Develop quality control processes
- Collaborate with architects
- Collaborate with security engineers
- Collaborate with control functions
- Collaborate with Chief Data Office
- Improve compliance
- Improve security posture
- Improve reliability
- Translate product vision into platform capabilities
- Translate product demand into platform capabilities
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- GCP BigQuery
- Snowflake
- Terraform
- dbt
- Airflow
- Python
- Java
- Git
- JIRA
- Artifactory
- Jenkins
- TeamCity
- OpenShift
Benefits
Gesundheits- & Fitnessangebote
- Statutory Health Insurance (BKK)
Sonstige Zulagen
- Sickness benefit allowance
- Personal Budget Accounts
- Capital-forming benefits
Mentale Gesundheitsförderung
- Support helplines
Großzügige Elternzeit
- Generous parental leave
Kinderbetreuung
- Childcare support
- Company kindergarten service
Betriebliche Altersvorsorge
- Pension plans
Gemeinnützige Ausrichtung
- CSR strategy support
- Corporate volunteering
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DWS International GmbH 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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DWDWS International GmbH
Engineering Lead - Data Infrastructure(m/w/x)
Berlin
VollzeitVor OrtSenior
Data Science
Nejo KI-Zusammenfassung
Designing and building enterprise data platforms on GCP and Snowflake. Extensive platform engineering experience required. Generous parental leave and childcare support.
Anforderungen
- Extensive experience in platform engineering or adjacent field
- Strong focus on enterprise data platforms
- Degree in Computer Science, Engineering, Information Technology, or related field (plus)
- Very strong expertise in modern data stack
- Expertise in cloud-based data platforms (GCP BigQuery, Snowflake)
- Experience in growing and leading engineering teams
- Extensive experience operating production cloud infrastructure
- Experience in complex enterprise environments
- Proficiency with IaC (e.g. Terraform)
- Proficiency with automation tooling
- Proficiency with orchestration tooling (e.g. dbt, Airflow)
- Good understanding of data governance
- Good understanding of data security
- Good understanding of IT compliance in regulated environments
- Very good programming skills in Python
- Very good programming skills in Java
- Experience with SDLC tools (Git, JIRA, Artifactory, Jenkins/TeamCity, OpenShift)
- Strong problem-solving skills
- Strategic thinking
- Attention to detail
- Proficiency in English
Aufgaben
- Drive design of data platforms
- Build data platforms
- Continuously improve data platforms
- Align with CTO Data
- Lead a high-impact squad
- Set technical direction
- Mentor team members
- Contribute to architecture
- Contribute to code
- Own end-to-end architecture
- Own design of data platform components
- Model data requirements
- Test data requirements
- Collaborate to understand requirements
- Create data stories
- Design data solutions
- Implement data solutions
- Help test data requirements
- Develop testing processes
- Develop quality control processes
- Collaborate with architects
- Collaborate with security engineers
- Collaborate with control functions
- Collaborate with Chief Data Office
- Improve compliance
- Improve security posture
- Improve reliability
- Translate product vision into platform capabilities
- Translate product demand into platform capabilities
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- GCP BigQuery
- Snowflake
- Terraform
- dbt
- Airflow
- Python
- Java
- Git
- JIRA
- Artifactory
- Jenkins
- TeamCity
- OpenShift
Benefits
Gesundheits- & Fitnessangebote
- Statutory Health Insurance (BKK)
Sonstige Zulagen
- Sickness benefit allowance
- Personal Budget Accounts
- Capital-forming benefits
Mentale Gesundheitsförderung
- Support helplines
Großzügige Elternzeit
- Generous parental leave
Kinderbetreuung
- Childcare support
- Company kindergarten service
Betriebliche Altersvorsorge
- Pension plans
Gemeinnützige Ausrichtung
- CSR strategy support
- Corporate volunteering
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DWS International GmbH 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
DWS International GmbH
Branche
FinancialServices
Beschreibung
DWS is a leading, client-committed, global Asset Manager making an impact on individuals, communities, and the world. Its data infrastructure team provides a secure, scalable, and trustworthy foundation for enterprise data.
Noch nicht perfekt?
- Almedia
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlinab 190.000 / Jahr - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, Freiburg im Breisgauab 140.000 / Jahr - mama health
Senior Data Engineer(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Trade Republic
Analytics Engineer(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - SumUp
(Senior) Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin