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Technical Team Lead – Data Platform(m/w/x)
Leading a team of data engineers on AWS data platform architecture and operations. Extensive hands-on data platform experience, SQL, dbt, Python, and IaC required. Individual education budget, international relocation support.
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
- Workflow Orchestration (Apache Airflow, AWS Step Functions, or similar)
- Containerization (Docker; Kubernetes is a plus)
- Deep knowledge of Software Engineering best practices
- Ability to balance big picture with hands-on engineering
- Comfortable leveraging GenAI-assisted coding
- First experience acting as team or tech lead
- Ability to act as trusted advisor and communicate technical topics
Tasks
- Lead and inspire a team of data engineers
- Mentor data engineers to foster growth and development
- Own data platform architecture, development, and operations
- Ensure platform scalability, security, and reliability
- Automate platform operations and data workflows
- Minimize manual intervention in data processes
- Serve as primary contact for data engineering teams
- Advise on platform usage, data modeling, and pipeline design
- Collaborate cross-functionally to set data engineering standards
- Champion data engineering excellence and security practices
- Architect and code critical data infrastructure solutions
- Review and deploy data platform enhancements
- Drive adoption of modern data tools and technologies
- Apply critical thinking to tool recommendations and outputs
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
- data modelling
- Apache Airflow
- AWS Step Functions
- Docker
- Kubernetes
- GenAI
Benefits
Learning & Development
- In-house knowledge sharing sessions
- Free German language classes
Mentorship & Coaching
- Career development sessions
Additional Allowances
- Individual education budget
Other Benefits
- International relocation support
- Complimentary subscription of Scalable Capital's PRIME+ Broker
Workation & Sabbatical
- Opportunity to work from abroad
Competitive Pay
- Attractive compensation package
Retirement Plans
- Company pension scheme
Public Transport Subsidies
- 50% monthly contribution for Deutschland Jobticket
Healthcare & Fitness
- Flexible sports activities
- Discounted sports activities with Urban Sports Club
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Technical Team Lead – Data Platform(m/w/x)
Leading a team of data engineers on AWS data platform architecture and operations. Extensive hands-on data platform experience, SQL, dbt, Python, and IaC required. Individual education budget, international relocation support.
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
- Workflow Orchestration (Apache Airflow, AWS Step Functions, or similar)
- Containerization (Docker; Kubernetes is a plus)
- Deep knowledge of Software Engineering best practices
- Ability to balance big picture with hands-on engineering
- Comfortable leveraging GenAI-assisted coding
- First experience acting as team or tech lead
- Ability to act as trusted advisor and communicate technical topics
Tasks
- Lead and inspire a team of data engineers
- Mentor data engineers to foster growth and development
- Own data platform architecture, development, and operations
- Ensure platform scalability, security, and reliability
- Automate platform operations and data workflows
- Minimize manual intervention in data processes
- Serve as primary contact for data engineering teams
- Advise on platform usage, data modeling, and pipeline design
- Collaborate cross-functionally to set data engineering standards
- Champion data engineering excellence and security practices
- Architect and code critical data infrastructure solutions
- Review and deploy data platform enhancements
- Drive adoption of modern data tools and technologies
- Apply critical thinking to tool recommendations and outputs
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
- data modelling
- Apache Airflow
- AWS Step Functions
- Docker
- Kubernetes
- GenAI
Benefits
Learning & Development
- In-house knowledge sharing sessions
- Free German language classes
Mentorship & Coaching
- Career development sessions
Additional Allowances
- Individual education budget
Other Benefits
- International relocation support
- Complimentary subscription of Scalable Capital's PRIME+ Broker
Workation & Sabbatical
- Opportunity to work from abroad
Competitive Pay
- Attractive compensation package
Retirement Plans
- Company pension scheme
Public Transport Subsidies
- 50% monthly contribution for Deutschland Jobticket
Healthcare & Fitness
- Flexible sports activities
- Discounted sports activities with Urban Sports Club
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Scalable GmbH
Industry
FinancialServices
Description
Scalable Capital is a leading digital investment and banking platform, empowering people across Europe to shape their finances.
Not a perfect match?
- Scalable GmbH
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