# Staff Data Platform Engineer (m/f/d) at BIT Capital GmbH

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> YOUR ROLE We are looking for a Staff Data Platform Engineer

- **Company:** BIT Capital GmbH (https://jobs.trythestack.co/companies/bit-capital-gmbh)
- **Location:** Berlin, DE, Germany
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Not stated
- **Key skills:** Python, Pandas, NumPy, Django, Flask, FastAPI, Airflow, Docker, Kubernetes, SQL, Snowflake, Databricks, AWS, DevOps, AI Engineering, LLMs
- **Posted by employer:** 2025-11-20
- **Added to The Stack:** 2026-03-30
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://bitcap.jobs.personio.com/job/1833794 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/staff-data-platform-engineer-mfd-bit-capital-gmbh

## About the role

YOUR ROLE We are looking for a Staff Data Platform Engineer to join our data and engineering team at BIT Capital. In this role, you will work on the core data platform that powers our proprietary equity research and AI-driven analytics, operating at petabyte scale and under real-world production constraints. You will be deeply involved in designing, building, and operating data infrastructure and pipelines, while helping evolve the platform towards higher reliability, quality, and security. The role combines hands-on engineering with technical leadership and offers significant scope to grow into broader responsibility over time. 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). YOUR PROFILE 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). YOUR 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. OUR BENEFITS * 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 CONTACT INFORMATION

## Responsibilities

The Senior Data Engineer will design, implement, and optimize data pipelines and architecture for complex datasets. They will also enhance AI workflows and collaborate with various teams to support business goals.

## Requirements

Candidates should have extensive experience in Python and data pipeline design, along with strong knowledge of SQL and modern data solutions. A solid foundation in AI engineering and experience with AWS infrastructure is also required.

## FAQ

- **Is this Staff Data Platform Engineer (m/f/d) role still open?** It was posted on 2025-11-20. Listings more than 30 days old may no longer be active, so check BIT Capital GmbH's site before applying.
- **Where is this role located?** The listing gives the location as Berlin, DE, Germany.
- **What skills does this role ask for?** The listing names: Python, Pandas, NumPy, Django, Flask, FastAPI, Airflow, Docker, Kubernetes, SQL, Snowflake, Databricks, AWS, DevOps, AI Engineering, LLMs.

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