Principal Engineer - Data & Platforms (m/f/d)

What you will do

• Design, build, and operate large-scale data pipelines and platform components handling complex, high-volume datasets.

• Contribute to the evolution of our data platform architecture (lakehouse/warehouse, orchestration, processing frameworks) with a strong focus on robustness and scalability.

• Improve data quality and reliability through testing, validation, and safe rollout patterns for pipelines and backfills.

• Strengthen operational excellence by improving observability, monitoring, alerting, and cost awareness across the data platform.

• Contribute to secure and compliant data handling practices, including access controls, secrets management, and auditing.

• Lead complex technical initiatives end-to-end while remaining hands-on in implementation.

• Raise engineering standards through code reviews, design discussions, and mentoring.

• Collaborate closely with researchers, data scientists, and other stakeholders to translate analytical and business needs into scalable engineering solutions.

• Support AI- and LLM-enabled workflows where they rely on the data platform (e.g. datasets, retrieval pipelines, evaluation and reliability).

What we’re looking for

• Several years of relevant industry experience building and operating production-grade data or platform systems.

• Strong Python and SQL skills, applied with clean engineering and testing practices.

• Experience with distributed data processing frameworks and modern data platforms (e.g. Databricks/Spark, Snowflake, or comparable technologies).

• Solid understanding of data modeling, pipeline design, schema evolution, backfills, and failure modes in large-scale data systems.

• Experience working with cloud infrastructure (preferably AWS) and production environments.

• Experience building and operating APIs using at least one of Django REST Framework (DRF), Flask, or FastAPI.

• A strong quality mindset: you care deeply about correctness, reliability, and long-term maintainability.

• Ability to lead technically through influence, sound judgment, and example.

• This role requires demonstrated excellence, combining outstanding academic achievements with exceptional impact in previous roles, and clear indicators of exceptional analytical and systems-thinking ability.

Nice to have

• Experience with infrastructure as code, CI/CD, and containerized environments.

• Practical experience improving security in data platforms.

• Exposure to financial data, research workflows, or investment-related use cases.

• Experience supporting or operating LLM-based systems in production (e.g. RAG pipelines, evaluation, LLMOps).

• 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