Data Team Lead (m/f/d)

Your mission:
For our significantly growing Data, AI & MarTech Department, we are looking for 2 technical team leads for 2 teams together covering the following topics. Each successful candidate is supposed to fulfil a respective subset of mentioned qualifications. As Data Team Lead you are playing a pivotal role in Smartbrokers 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 organisation. Your team is responsible for generating significant business value through data, enable data & AI driven decision making across departments, while ensuring compliance with data regulations. Job description: Lead a team of highly skilled and motivated data engineers, software engineers, AI engineers, act as mentor for team members supporting the m growing and unfolding their full potential Be responsible for our cloud based data lake 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 , from data ingestion, transformation 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 marketing tools Manage the implementation of server- side-tracking and own our tracking infrastructure incl. Google Tag Manager, Firebase , Google Ads… Develop and maintain the technical AI and machine learning infrastructure Manage machine learning and Gen AI use case implementation using LLMs and RAG Build AI and data features in close collaboration with product engineering teams Closely collaborate with data consumers across the organisation incl. Management, Product , Marketing, Finance, Client Support and Operations

Your profile:
University degree in a technical field: computer science, business informatics, natural sciences, or similar Expert knowledge in machine learning, generative AI, LLMs & RAG, AI agents and related technical tools (OpenAI, LangChain , Langfuse …) Very good python & SQL programming skills, Java is a plus Deep technical knowledge of modern cloud based data platforms (GCP/AWS, dbt , Firebase, BigQuery ) Familiarity with analytics tools like Google Tag Manager, Looker Studio, Google Analytics Experience with implementation of server-side tracking and consent management Strong understanding in structuring data models and efficient data processing of large data sets 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 & AI 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