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Engineer - Data & Platforms

BIT Capital • Germany
Visa Sponsorship Relocation
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Build and operate internal data products including pipelines, datasets, APIs, and tooling for the investment, quantitative research, and AI engineering teams. Design, build, and maintain reliable data pipelines, ETLs, and integrations handling complex financial and alternative datasets using Python, SQL, AWS, and Databricks. Bring engineering discipline through automated testing, CI/CD, code review, and documentation; use agentic AI as a default in daily engineering work.

Key Highlights
Hands-on engineering role building data pipelines, APIs, and internal tools for investment and research teams
Stack: Python, SQL, AWS, and Databricks; agentic AI expected as a core part of daily work
International team of ~40 professionals at Berlin HQ with flat hierarchies
Visa sponsorship and relocation support offered
Key Responsibilities
Build and improve internal data products including pipelines, datasets, APIs, and tooling
Work directly with investment and research teams to triage, prioritise, and deliver features
Design, build, and operate reliable data pipelines, ETLs, and integrations
Reinforce engineering discipline: automated testing, CI/CD, pull requests, code review, documentation
Contribute to operational excellence: observability, monitoring, data quality, secure data handling
Use agentic AI across coding, review, testing, debugging, and documentation
Technical Skills Required
Python SQL AWS
Benefits & Perks
Visa sponsorship
Relocation support
Competitive compensation package with variable component tied to fund performance
Flat hierarchies and direct interaction with management and investors
Highly international team (15 nationalities)
Nice to Have
Databricks or PySpark
Data platform tooling such as orchestration (Airflow, Dagster or similar)
Lakehouse formats (Parquet, Delta, Iceberg)
Experience with investment, financial or market data
Building web frontends or APIs for internal tools
LLM systems in production

Job Description

Your Role & How we work

As our Engineer - Data & Platforms (m/f/d), you build and run the internal data products that our investment team, Quantitative Research and AI Engineering rely on every day: the pipelines, datasets, APIs and tools that turn a large and growing pool of financial and alternative data into something investors can act on. Our stack is Python, SQL, AWS, and Databricks.

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