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