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A leading fintech company based in Munich is seeking a Lead Data Engineer to mentor a team and own the architecture of their data platforms. The ideal candidate will have 5+ years of experience with expertise in AWS Cloud, strong SQL and Python skills, and a background in data modeling. This is a full-time position that offers autonomy, impact, and modern technologies in a collaborative environment with opportunities for personal growth and career development.
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 :
Remote Work : No
Employment Type : Full-time
Experience : years
Vacancy : 1