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Technical Team Lead – Data Platform(m/w/x)
Leading data engineers on AWS data services and security features. Extensive hands-on data platform experience 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 for data pipelines
- Ability to balance big picture 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 inspire a team of data engineers
- Mentor team members in data engineering and platform best practices
- Own architecture, development, and operation of the data platform
- Ensure scalability, security, and reliability of data pipelines
- Automate platform operations and streamline data workflows
- Minimize manual intervention in data processes
- Serve as the 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 concepts
- Architect, code, review, and deploy critical data infrastructure
- Drive adoption of modern tooling, including GenAI-assisted coding
- 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
- Apache Airflow
- AWS Step Functions
- Docker
- Kubernetes
- CI/CD
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
Competitive Pay
- Attractive compensation package
Retirement Plans
- Company pension scheme
Public Transport Subsidies
- 50% monthly contribution for Deutschland Jobticket
Healthcare & Fitness
- Flexible sports activities
Corporate Discounts
- Discounted sports activities
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Technical Team Lead – Data Platform(m/w/x)
Leading data engineers on AWS data services and security features. Extensive hands-on data platform experience 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 for data pipelines
- Ability to balance big picture 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 inspire a team of data engineers
- Mentor team members in data engineering and platform best practices
- Own architecture, development, and operation of the data platform
- Ensure scalability, security, and reliability of data pipelines
- Automate platform operations and streamline data workflows
- Minimize manual intervention in data processes
- Serve as the 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 concepts
- Architect, code, review, and deploy critical data infrastructure
- Drive adoption of modern tooling, including GenAI-assisted coding
- 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
- Apache Airflow
- AWS Step Functions
- Docker
- Kubernetes
- CI/CD
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
Competitive Pay
- Attractive compensation package
Retirement Plans
- Company pension scheme
Public Transport Subsidies
- 50% monthly contribution for Deutschland Jobticket
Healthcare & Fitness
- Flexible sports activities
Corporate Discounts
- Discounted sports activities
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.
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