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About the Role
As a Senior Engineer - Data & Platforms, you will build and operate the data platform, cloud infrastructure, internal tooling, and engineering practices that power our equity research and AI products at petabyte scale. This is a hands-on individual contributor role focused on designing, building, and shipping, with significant ownership opportunities in a growing, senior team. You will collaborate closely with Quantitative Research, AI Engineering, Product & Data, and the investment team, treating agentic AI as a default in how we build.
Responsibilities
- Design, build, and operate large-scale data pipelines, ETLs, APIs, and integrations.
- Build and improve internal research tooling, including web frontends for the investment team.
- Evolve the data platform (lakehouse, orchestration, processing) and its primitives.
- Build data and infrastructure foundations for LLM-enabled workflows and AI agents.
- Strengthen operational excellence in observability, monitoring, incident response, data quality, and secure data handling.
- Raise the engineering bar through code reviews, design discussions, and mentoring.
- Utilize agentic AI across all engineering functions to advance team practices.
Requirements
- Several years of relevant industry experience building and operating production-grade data or platform systems.
- Outstanding academic record and exceptional analytical and systems-thinking ability.
- Strong Python and SQL with clean engineering practices.
- Experience with PostgreSQL, lakehouse formats (Parquet, Iceberg, Delta), distributed processing, and production APIs (FastAPI, Django REST Framework, Flask).
- Experience with a major public cloud (AWS strongly preferred).
- Solid grasp of data modeling, pipeline design, schema evolution, backfills, and failure modes in large-scale systems.
- Strong production discipline across testing, observability, data quality, and security.
- Hands-on use of AI across all engineering functions, including frontier coding systems like Claude Code and Codex.
Skills
- Python
- SQL
- AWS
- Databricks
- PostgreSQL
- Parquet
- Iceberg
- Delta
- FastAPI
- Django REST Framework
- Flask
- Observability
- Monitoring
- Incident Response
- Data Quality
- Security
- Code Reviews
- Design Discussions
- Mentoring
- Agentic AI
- Claude Code
- Codex
- Infrastructure as Code
- CI/CD
- Containers
- Web Frontends
- RAG
- MCPs
- LLMOps
- Agentic Orchestration
Location
- Berlin HQ
Work Type
- Full-time
- Onsite
Experience Level
- Senior
Education Level
- Outstanding academic record
Salary/Compensations
- Competitive compensation package with a meaningful variable component tied to fund performance
Benefits
- Visa sponsorship
- Relocation support
About the Company
- BIT Capital combines the expertise of an industry leader in asset management with the agility of a young tech company.
- BIT Capital enables investors to participate in the future growth of the technology-driven world through its investment products.
- The guiding principle is to be “Ahead of the Curve" - anticipating technology mega trends and identifying major investment opportunities.
- The team expertly navigates complex technology sectors, identifying tomorrow's technology leaders.
- The team 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.
Equal Opportunity
- As part of our recruitment process, we use digital tools that incorporate AI-supported functionalities to structure and review application materials and to support the selection process. The results are used solely as support for the initial screening and are always reviewed by responsible personnel. Decisions regarding an offer of employment or a rejection are not made solely by automated means.