Dein persönlicher KI-Karriere-Agent
Technical Team Lead – Data Platform(m/w/x)
Architecting and operating AWS data pipelines with dbt and Python. Extensive hands-on data platform experience required. Individual education budget, company pension.
Anforderungen
- University degree in computer science, mathematics, natural sciences, or similar
- Extensive hands-on experience building, improving, and operating data platforms
- Expert level SQL, dbt & Python
- Skilled using Infrastructure as Code (Terraform, AWS CDK, or CloudFormation)
- Expertise in AWS Cloud data services and security features
- Experience with data modelling in modern data stack
- Experience with Workflow Orchestration (Apache Airflow, AWS Step Functions, or similar)
- Containerization: Docker; Kubernetes is a plus
- Deep knowledge of Software Engineering best practices for data pipelines
- Ability to balance big picture strategy with hands-on engineering
- Comfortable leveraging GenAI-assisted coding and code reviews
- First experience acting as team or tech lead
- Ability to act as trusted advisor and communicate technical topics clearly
Aufgaben
- Lead and mentor data engineers
- Own data platform architecture and development
- Operate data pipelines
- Ensure platform scalability, security, and reliability
- Automate platform operations
- Streamline data workflows
- Serve as expert for data engineering best practices
- Empower teams to use the data platform
- Promote a data-driven culture
- Collaborate to set data engineering standards
- Champion data engineering excellence
- Architect critical data infrastructure solutions
- Code critical data infrastructure solutions
- Review critical data infrastructure solutions
- Deploy critical data infrastructure solutions
- Drive adoption of modern tooling
- Apply critical thinking to recommendations
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- dbt
- Python
- Terraform
- AWS CDK
- CloudFormation
- AWS
- S3
- Glue
- Athena
- Redshift
- IAM
- KMS
- Apache Airflow
- AWS Step Functions
- Docker
- Kubernetes
- CI/CD
Benefits
Betriebliche Altersvorsorge
- Company pension scheme
Mentoring & Coaching
- In-house knowledge sharing
- Career development sessions
Sonstige Zulagen
- Individual education budget
Weiterbildungsangebote
- Free German language classes
Sonstige Vorteile
- International relocation support
- Complimentary Scalable Capital PRIME+ subscription
Mehr Urlaubstage
- Flexible vacation policy
Flexibles Arbeiten
- Work from abroad
Öffi Tickets
- 50% Deutschland Jobticket contribution
Gesundheits- & Fitnessangebote
- Flexible and discounted Urban Sports Club activities
Noch nicht perfekt?
- Scalable GmbHVollzeitmit HomeofficeSeniorMünchen
- MOIA
Tech Lead - Data and Analytics Engineering(m/w/x)
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Principal Data Engineer(m/w/x)
VollzeitRemoteSeniorMünchen, Frankfurt am Main, Berlin, Leipzig, Stuttgart, Essen, Nürnberg - NavVis
Senior Software Engineer Python & AWS(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen
Technical Team Lead – Data Platform(m/w/x)
Architecting and operating AWS data pipelines with dbt and Python. Extensive hands-on data platform experience required. Individual education budget, company pension.
Anforderungen
- University degree in computer science, mathematics, natural sciences, or similar
- Extensive hands-on experience building, improving, and operating data platforms
- Expert level SQL, dbt & Python
- Skilled using Infrastructure as Code (Terraform, AWS CDK, or CloudFormation)
- Expertise in AWS Cloud data services and security features
- Experience with data modelling in modern data stack
- Experience with Workflow Orchestration (Apache Airflow, AWS Step Functions, or similar)
- Containerization: Docker; Kubernetes is a plus
- Deep knowledge of Software Engineering best practices for data pipelines
- Ability to balance big picture strategy with hands-on engineering
- Comfortable leveraging GenAI-assisted coding and code reviews
- First experience acting as team or tech lead
- Ability to act as trusted advisor and communicate technical topics clearly
Aufgaben
- Lead and mentor data engineers
- Own data platform architecture and development
- Operate data pipelines
- Ensure platform scalability, security, and reliability
- Automate platform operations
- Streamline data workflows
- Serve as expert for data engineering best practices
- Empower teams to use the data platform
- Promote a data-driven culture
- Collaborate to set data engineering standards
- Champion data engineering excellence
- Architect critical data infrastructure solutions
- Code critical data infrastructure solutions
- Review critical data infrastructure solutions
- Deploy critical data infrastructure solutions
- Drive adoption of modern tooling
- Apply critical thinking to recommendations
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- dbt
- Python
- Terraform
- AWS CDK
- CloudFormation
- AWS
- S3
- Glue
- Athena
- Redshift
- IAM
- KMS
- Apache Airflow
- AWS Step Functions
- Docker
- Kubernetes
- CI/CD
Benefits
Betriebliche Altersvorsorge
- Company pension scheme
Mentoring & Coaching
- In-house knowledge sharing
- Career development sessions
Sonstige Zulagen
- Individual education budget
Weiterbildungsangebote
- Free German language classes
Sonstige Vorteile
- International relocation support
- Complimentary Scalable Capital PRIME+ subscription
Mehr Urlaubstage
- Flexible vacation policy
Flexibles Arbeiten
- Work from abroad
Öffi Tickets
- 50% Deutschland Jobticket contribution
Gesundheits- & Fitnessangebote
- Flexible and discounted Urban Sports Club activities
Über das Unternehmen
Scalable Capital
Branche
FinancialServices
Beschreibung
Scalable Capital is a leading digital investment and banking platform empowering people across Europe to shape their finances through services like Scalable Broker and Scalable Wealth.
Noch nicht perfekt?
- Scalable GmbH
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen - MOIA
Tech Lead - Data and Analytics Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Senior Cloud (Data) Platform Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart - Alexander Thamm GmbH
Principal Data Engineer(m/w/x)
VollzeitRemoteSeniorMünchen, Frankfurt am Main, Berlin, Leipzig, Stuttgart, Essen, Nürnberg - NavVis
Senior Software Engineer Python & AWS(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen