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About the Role
As an Engineer - Data & Platforms (m/f/d), you will build and operate internal data products, including pipelines, datasets, APIs, and tools, that support the investment team, Quantitative Research, and AI Engineering. You will report to the Director of Engineering and work closely with various teams, treating agentic AI as a default in your engineering practices.
Responsibilities
- Build and improve internal data products used daily by investment and research teams, including data pipelines, datasets, APIs, and tooling on top of the lakehouse and orchestration stack.
- Collaborate directly with user teams to gather requests, prioritize them, maintain product integrity, and explain technical trade-offs clearly.
- Design, build, and operate reliable data pipelines, ETLs, and integrations for complex financial and alternative datasets.
- Promote engineering best practices such as automated testing, CI/CD, code reviews, and clear documentation.
- Contribute to operational excellence through observability, monitoring, data quality, and secure data handling.
- Utilize agentic AI across engineering tasks including coding, review, testing, debugging, and documentation, and help advance these practices within the team.
Requirements
- 3 to 5 years of professional software or data engineering experience, including building and operating production systems.
- Strong proficiency in Python and SQL, with a focus on clean, readable code and effective data modeling.
- Demonstrated engineering discipline, including writing tests (unit, integration, data quality), working with CI/CD, and utilizing pull requests and code reviews.
- Ability to communicate clearly with non-engineers, explaining technical concepts, features, and limitations constructively.
- Hands-on experience using AI across engineering functions, including advanced coding systems like Claude Code and Codex.
- Genuine interest in investing, financial markets, and data, with a desire to grow expertise in these areas.
Skills
- Python
- SQL
- AWS
- Databricks
- PySpark
- Airflow
- Dagster
- Parquet
- Delta
- Iceberg
- Agentic AI
- Claude Code
- Codex
- Data Modeling
- CI/CD
- Automated Testing
- Code Review
- Observability
- Monitoring
- Data Quality
- Secure Data Handling
- Web Frontend Development
- API Development
- LLM Systems
Location
- Berlin HQ
Work Type
- Full-time
- Onsite
Experience Level
- 3-5 years
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 industry-leading asset management expertise with the agility of a tech startup, enabling investors to participate in future technology growth.
- The company's guiding principle is 'Ahead of the Curve,' focusing on anticipating technology mega trends and identifying future investment opportunities.
- BIT Capital's team expertly navigates complex technology sectors to identify early-stage technology leaders for investors.
- The team comprises approximately 40 professionals, including 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 a top-performing equity fund 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.