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.
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 practices—from 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 Capital’s 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.
#LI-Hybrid
Scalable Capital is a leading digital investment platform in Europe. Since our foundation in 2014, we pursue the mission to empower everyone to become an investor. With the Scalable Broker, Scalable Wealth, Scalable Crypto and our solutions for B2B partners we offer easy and cost efficient investing for everyone. Today, Scalable Capital is a FinTech unicorn - we have more than 600,000 customers and more than 10 billion Euros on our platform. Visit our finance blog or tune in to our podcast (both in German) to find out what our Expert Teams have to say. Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).
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