Scalable Capital
Technical Team Lead – Data Platform (m/f/x) (onsite / remote in Germany)
Scalable Capital WorkFromHome
Stellenbeschreibung:

    About the Role

    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 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 data engineering best practices.
    • Collaborate cross-functionally to set standards and champion data engineering excellence across the organization including 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 data-native services (S3, Glue, Athena, Redshift, etc.)
    • Expert level knowledge of IAM, KMS, networking, and security best practices in AWS
    • Expert level SQL & Python
    • Skills with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation)
    • Workflow orchestration (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 a plus)
    • Software engineering best practices (requirements, version control, CI/CD, testing, deployment, monitoring)
    • Ability to balance strategic thinking with hands-on engineering
    • Data-native mindset and experience designing robust, scalable platforms
    • Comfort with GenAI-assisted coding and thoughtful code reviews
    • Proven experience leading, mentoring, and growing small expert teams
    • Strong communication to act as a trusted advisor for other teams

    Why Join Us?

    • Direct ownership and impact on the future of Scalable Capital’s data landscape
    • High autonomy and the chance to shape standards across the company
    • 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 a fast-growing Fintech startup with a meaningful impact for customers
    • International, diverse, inclusive team with opportunities to work remotely within Germany (where eligible)
    • Offices in Munich or Berlin, with equipment and tools provided
    • Learning opportunities through in-house knowledge sharing and an Education Budget
    • German language classes and relocation support if required
    • Flexible vacation policy and the option to work from abroad
    • Attractive compensation package and company pension scheme
    • Monthly contribution for the Deutschland Jobticket
    • Subscription to Scalable Capital PRIME+ Broker and access to Urban Sports Club

    Seniority level

    • Mid-Senior level

    Employment type

    • Full-time

    Job function

    • Banking

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Stelleninformationen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

    Development & IT
  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    06 Okt 2025
  • Standort:

    WorkFromHome
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