Senior Data Engineer (m/f/d)

We are looking for an experienced Senior Data Engineer who will play a key role in developing and optimizing our proprietary equity research and AI-driven analytical solutions.

Requirements

• Extensive professional experience in Python
• Deep proficiency in libraries and frameworks such as Pandas, NumPy, Django, Flask, and FastAPI
• Demonstrated expertise in designing and maintaining large-scale data pipelines using Airflow and containerization technologies such as Docker and Kubernetes
• Strong knowledge and hands-on experience with SQL, Snowflake, Databricks, and other modern deltalake solutions
• Proven ability to manage and optimize AWS infrastructure and DevOps practices, including CI/CD, infrastructure as code (Terraform), and container orchestration
• Solid foundation or strong interest in AI engineering, particularly practical experience with integrating LLMs into production environments (RAG, fine-tuning, context engineering, model evaluation, LLMOps, etc.)
• Track record in building, deploying, and maintaining platforms with high volumes of data, especially in the financial sector
• Previous experience within asset management, quantitative finance, or equity research settings
• Familiarity with financial data, metrics, and investment analysis principles
• Previous experience training and operationalizing large ML models (e.g., CNNs, transformer models, or other deep learning architectures), including deploying, maintaining, and monitoring models in production environments

Benefits

• Competitive compensation package
• Relocation and visa support
• Assumption of responsibility from day one
• Challenging, varied tasks for a steep learning curve and professional growth opportunities
• A transparent, appreciative feedback culture for your personal development
• Team events with a successful team that brings digital and financial worlds together