Company Description
Scalable Capital is a leading digital investment platform in Europe. The company empowers everyone to shape their financial future. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs and other exchange-traded products and 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 renowned B2B partners. With the European Investor Exchange (EIX) Scalable Capital offers a stock exchange for retail investors in Europe. Over 27 billion euro is held on the platform by more than one million clients.
Scalable Capital was founded in 2014 and employs more than 500 people at its offices in Munich, Berlin, Vienna, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.
Visit our finance blog or check out our Social Media channels 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).

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 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.

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

As the leader of our Data Platform team, you’ll play a pivotal role in Scalable Capital’s data journey. Your team is at the heart of our data infrastructure, responsible for improving, extending, and automating our data platforms. In addition to leading and mentoring two talented data experts, you’ll act as a hands-on staff engineer, directly shaping our technology and best practices.
You and your team will serve as the go-to experts for data engineering and platform best practices - from data modeling and pipeline design to coding standards and security - empowering other data teams and promoting a truly data-driven culture across the company.

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.