Technical Team Lead – Data Platform (mfx)

• 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
• Work from our centrally located offices in the heart of Munich or Berlin nestled in lively neighborhoods filled with vibrant restaurants cozy cafés and a wide range of convenient amenities or choose to work remotely within Germany (if eligible for the job)
• Be productive with the latest hardware and tools
• Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget 
• Learn and experience German culture first hand by joining our free German language classes
• International relocation support is provided if required 
• 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 50% for the Deutschland Jobticket
• Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capitals PRIME Broker
• Enjoy flexible and discounted sports activities with Urban Sports Club

#LI-Hybrid

Remote Work :

No

Employment Type :

Full-time