YOUR ROLE
We are looking for an experienced Senior Data Engineer (m/f/d) who will play a key role in developing and optimizing our proprietary equity research and AI-driven analytical solutions. This role is essential in unifying diverse data sources and deploying cutting-edge AI tools to power strategic investment decisions and research workflows.
Key Responsibilities
* Contribute significantly to the design, implementation, and optimization of sophisticated data pipelines (ETL/ELT) and data architecture capable of handling complex, high-volume datasets.
* Develop and enhance advanced LLM workflows, integrating state-of-the-art AI models into our equity research and analytics processes.
* Collaborate closely with multidisciplinary teams, including research analysts, quantitative researchers, data scientists, and external data providers, ensuring engineering solutions effectively support business and research goals.
* Translate complex business requirements into scalable, high-quality engineering and AI solutions.
* Support technical initiatives related to infrastructure and DevOps, optimizing AWS and Databricks environments, CI/CD pipelines, container orchestration, and automation processes.
YOUR PROFILE
* Extensive professional experience in Python, with 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.).
Preferred Skills
* 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.
* General software security overview
YOUR MINDSET
* You are passionate about AI, emerging technologies, and investing.
* You are proactive, entrepreneurial, and eager to contribute strategically to a high-growth, innovative environment.
* You are collaborative and thrive in a transparent, high-performance team culture.
* You consistently challenge the status quo, exploring new ideas and innovative solutions.
* You are committed to BIT Capital's vision and long-term success.
OUR BENEFITS
* Work with petabytes of data, leveraging the most cutting-edge tools
* Work with the brightest minds in the industry and become part of an unique success story in Europe
* An experienced, international team with professional colleagues and strong experts for an inspiring network
* Flat hierarchy and direct interaction with the management and senior staff of BIT Capital
* 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
* Competitive compensation package as well as relocation and visa support
CONTACT INFORMATION