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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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- dbt
- Python
- Terraform
- AWS CDK
- CloudFormation
- AWS
- S3
- Glue
- Athena
- Redshift
- IAM
- KMS
- Apache Airflow
- AWS Step Functions
- Docker
- Kubernetes
- CI/CD
Benefits
Retirement Plans
- Company pension scheme
Mentorship & Coaching
- In-house knowledge sharing
- Career development sessions
Additional Allowances
- Individual education budget
Learning & Development
- Free German language classes
Other Benefits
- International relocation support
- Complimentary Scalable Capital PRIME+ subscription
More Vacation Days
- Flexible vacation policy
Flexible Working
- Work from abroad
Public Transport Subsidies
- 50% Deutschland Jobticket contribution
Healthcare & Fitness
- Flexible and discounted Urban Sports Club activities
Not a perfect match?
- Scalable GmbHFull-timeWith HomeofficeSeniorMünchen
- MOIA
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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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- dbt
- Python
- Terraform
- AWS CDK
- CloudFormation
- AWS
- S3
- Glue
- Athena
- Redshift
- IAM
- KMS
- Apache Airflow
- AWS Step Functions
- Docker
- Kubernetes
- CI/CD
Benefits
Retirement Plans
- Company pension scheme
Mentorship & Coaching
- In-house knowledge sharing
- Career development sessions
Additional Allowances
- Individual education budget
Learning & Development
- Free German language classes
Other Benefits
- International relocation support
- Complimentary Scalable Capital PRIME+ subscription
More Vacation Days
- Flexible vacation policy
Flexible Working
- Work from abroad
Public Transport Subsidies
- 50% Deutschland Jobticket contribution
Healthcare & Fitness
- Flexible and discounted Urban Sports Club activities
About the Company
Scalable Capital
Industry
FinancialServices
Description
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.
Not a perfect match?
- Scalable GmbH
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorMünchen - MOIA
Tech Lead - Data and Analytics Engineering(m/w/x)
Full-timeWith HomeofficeSeniorMünchen - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Senior Cloud (Data) Platform Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart - Alexander Thamm GmbH
Principal Data Engineer(m/w/x)
Full-timeRemoteSeniorMünchen, Frankfurt am Main, Berlin, Leipzig, Stuttgart, Essen, Nürnberg - NavVis
Senior Software Engineer Python & AWS(m/w/x)
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