Data Team Lead – Analytics Platform (m​/f​/d

Your mission

For our significantly growing Data, AI & Marketing Tech Department, we are looking for a technical team lead for one of our data teams. The mission of the team is to further develop a scalable data analytics platform and provide data and data products to consumers throughout the company. The analytics platform is the heart of our strategy to enable every employee to work in a data driven way.

As Data Team Lead you are playing a pivotal role in Smartbroker’s data & AI journey. You will lead and mentor great talents and work at the intersection of business, data, and technology, drive innovation and data & AI adoption throughout the organization. Your team is responsible for generating significant business value through data, enabling data & AI driven decision making across departments, while ensuring compliance with data regulations.

• Lead a team of highly skilled and motivated data & analytics engineers, act as mentor for team members supporting them growing and unfolding their full potential
• Develop and maintain the technical data platform infrastructure built in the Google Cloud
• Manage and orchestrate analytics use cases and requirements
• Be responsible for our cloud-based data platform infrastructure, drive continuous improvement, manage data access, ensure compliant data handling and platform security
• Manage end-to-end implementation of efficient data pipelines according to our data consumers’ needs up to consumable data & products
• Own the technical implementation and components of your team as well as their operation and maintenance
• Development and integration of data governance tools, e.g., automated data deletions or tracking consent management
• Be responsible for technical integration of certain data related external tools, e.g. for Marketing
• Closely collaborate with data consumers across the organization incl. Management, Product, Marketing, Finance, Client Support and Operations

• University degree in a technical field: computer science, business informatics, natural sciences, or similar
• Expert knowledge on state-of-the-art data engineering and data model approaches
• Expert knowledge in data platform engineering and related technical tools liked bt
• Very good python & SQL programming skills, Java is a plus
• Deep technical knowledge of modern cloud-based data platforms (GCP/AWS)
• Familiarity with analytics tools like Google Tag Manager, Looker Studio, Google Analytics 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
• Familiarity with data security, data regulations, data privacy requirements
• Strong people and stakeholder management skills
• Proactive, solution-oriented mindset, experience in leading and mentoring talents, strong sense of ownership
• Strong English communication and presentation skills, German is a plus
• Interest in finance and fintech industry and a sense of humor