Senior Data Engineer

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.

• 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  

• 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.

• 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