Senior Data Engineer (m/f/d)

Join to apply for the Senior Data Engineer (m/f/d) role at BIT Capital

Join to apply for the Senior Data Engineer (m/f/d) role at BIT Capital

BIT Capital combines the expertise of an industry leader in asset management with the agility of a young tech company. With its investment products, BIT Capital enables investors to participate in the future growth of the technology-driven world. The guiding principle is always to be “Ahead of the Curve" - anticipating technology megatrends and identifying the major investment opportunities of the future before they emerge. The BIT Capital team expertly navigates a constantly evolving landscape of complex technology sectors, identifying tomorrow's technology leaders at an early stage on behalf of its investors. The experienced team currently consists of around 40 professionals, including an investment team of 20 financial market experts, sector specialists, data engineers and software developers. The flagship fund, BIT Global Technology Leaders, has received multiple performance awards and is one of the highest performing equity funds in Europe.

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.

Qualifications

• 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.).

Nice to have:

• 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

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.

What you can expect

• Work with petabytes of data, leveraging the most cutting-edge tools
• Work with the brightest minds in the industry and become part of a 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 technology and financial worlds together
• Competitive compensation package as well as relocation and visa support

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Technology, Information and Media

Referrals increase your chances of interviewing at BIT Capital by 2x

Get notified about new Data Engineer jobs in Berlin, Germany .

Senior Principal Data Engineer (All Genders)

Senior Data Engineer, Business Operations Intelligence

Senior Data Engineer - ZMS advertisement platform (all genders)

Data Center Infrastructure Engineer (all gender)

Senior AI Software Engineer (all genders)

Full-Stack Software Engineer Frontend Focused

Senior Data Engineer - Integrations (m/f/d)

Data Engineer: ZMS Audiences (all genders)

Senior Software Engineer - Data Platform Emulators

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr