Technical Team Lead â Data Platform (m/f/x) (onsite / remote in Germany)
Technical Team Lead â Data Platform (m/f/x) (onsite / remote in Germany)
Posted on :
08-07-2025
Employer Active
1 Vacancy
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Job Description
- Lead mentor and inspire a small team of senior data engineers.
- Own the architecture development and operation of our data platforms ensuring scalability security and reliability.
- Automate platform operations and streamline data workflows to increase efficiency and minimize manual intervention.
- Act as the first point of contact for other data engineering teams on topics like platform usage data modeling pipeline design and general data engineering best practices.
- Collaborate cross-functionally to set standards and champion data engineering excellence across the organization incl. security concepts.
- Remain hands-on: architect code review and deploy critical data infrastructure solutions.
- Drive adoption of modern tooling (including GenAI-assisted coding) while applying critical thinking to recommendations and outputs.
Qualifications :
- Several years (5) of hands-on experience building improving and operating data platforms in high-volume production environments
- Expertise in AWS Cloud especially their data-native service offering (S3 Glue Athena Redshift etc.)
- Expert level knowledge of IAM KMS networking and security best practices in AWS
- Expert Level SQL & Python
- Skilled using Infrastructure as Code: e.g. Terraform AWS CDK or CloudFormation.
- Workflow Orchestration: e.g. Apache Airflow AWS Step Functions or similar.
- Data Modeling & Data Warehousing: Dimensional modeling star/snowflake schemas; experience with Redshift Snowflake or BigQuery is a plus.
- Containerization: Docker; Kubernetes is a plus.
- Deep knowledge of Software Engineering best practicesfrom requirements specification version control CI/CD and testing to deployment and monitoring of data pipelines and services.
- Ability to balance the big picture (strategy scaling) with hands-on engineering and problem-solving.
- Strong skills in data modeling pipeline design and automation.
- Data-native mindset: you think data-first and know how to design robust scalable and maintainable platforms.
- Comfortable leveraging GenAI-assisted coding while maintaining high standards and thoughtful code reviews.
- Proven experience leading mentoring and growing small expert teams.
- Ability to act as a trusted advisor for other teams and communicate complex technical topics clearly.
Why Join Us
- Direct ownership and impact on the future of Scalable Capitals data landscape.
- High degree of autonomy trust and the chance to shape standards across the company.
- Work in a modern cloud-first environment with cutting-edge data technologies.
- Collaborative data-driven culture and a supportive team.
- Opportunities for personal growth technical leadership and career development.
Additional Information :
- Be part of one of the fastest-growing and most visible Fintech startups in Europe creating innovative services that have a substantial impact on the lives of our customers
- Work with an international diverse inclusive and ever-growing team that loves creating the best products for our clients
- Enjoy an office in a great location in the middle of Munich or Prenzlauer Berg a vibrant district surrounded by an exciting array of restaurants cafs and convenient amenities
- Be productive with the latest hardware and tools
- Learn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget
- Learn and experience German culture first hand by joining our free German language classes
- (International) relocation support
- Flexible vacation policy and the opportunity to work from abroad
- Benefit from an attractive compensation package and from the company pension scheme
- Monthly contribution of 25% for the Deutschland Jobticket
- Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capitals PRIME Broker
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Key Skills
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