About the Company
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company's offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform.
Responsibilities
- Lead, mentor, and inspire a team of data engineers
- Own the architecture, development, and operation of our data platform and pipelines, 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
- Remain hands-on and architect, code, review, and deploy critical data infrastructure solutions
- Drive adoption of modern tooling while applying critical thinking to recommendations and outputs
Requirements
- University degree in computer science, mathematics, natural sciences, or a similar field
- Extensive of hands-on experience building, improving, and operating data platforms in high-volume environments
- Expert Level SQL, dbt & Python
- Skilled using Infrastructure as Code: e.g., Terraform, AWS CDK, or CloudFormation
- Expertise in AWS Cloud, especially their data-native service offering and security features
- Experience with data modelling in the modern data stack
- Workflow Orchestration: e.g., Apache Airflow, AWS Step Functions, or similar
- Containerization: Docker; Kubernetes is a plus
- Deep knowledge of Software Engineering best practices
- Ability to balance the big picture with hands-on engineering and problem-solving
- Comfortable leveraging GenAI-assisted coding while maintaining high standards and thoughtful code reviews
- First experience acting as team or tech lead
- Ability to act as a trusted advisor for other teams and communicate complex technical topics clearly
Benefits
- 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
- Flexible vacation policy and the opportunity to work from abroad
- Attractive compensation package and company pension scheme