- Location
- Germany
- Workplace
- Onsite
- Department
- Professional / Experienced
- Source
- JOIN
Description
Founded by industry leading experts, Amfileon’s mission is to find and capitalize on inefficiencies in liquid capital markets by building statistical models based on relevant data sets. We employ state-of-the-art trading technologies & algorithms to implement our models in global markets. Our team consists of highly numerate, detail-oriented
scientists.
## Tasks
**The Role**
We are looking to hire a Data Engineer to join our team. You will work on designing, building, and operating the data systems that power both research and live trading. The scope and ownership of the role will be tailored to your experience and strengths.
You will collaborate closely with engineers, infrastructure specialists, and researchers to explore, understand, and operate large-scale datasets and data systems in a production trading environment. Your work will directly impact research velocity and trading performance.
**Responsibilities include, among other things.**
- Exploring and analyzing datasets (understanding structure, quality, and implicit assumptions)
- Transforming raw data into consistent, reliable formats (clear semantics and reproducible transformations)
- Working with researchers to define data requirements (translating them into well-structured, meaningful datasets)
- Designing and maintaining scalable ETL pipelines (explicit DAG-based workflows with welldefined dependen cies and reproducible execution)
- Managing and optimizing data storage systems (analytical and transactional databases)
- Monitoring and improving data systems and pipelines in production (observability, reliability, and performance)
## Requirements
**Who we are looking for**
The ideal candidate will have the following qualities, skills, and experience:
- Masters degree in Computer Science, Mathematics, or a related field
- Ability to reason about data (ability to identify issues, inconsistencies, and edge cases)
- Solid understanding of data engineering concepts (ETL, data modeling, data warehousing)
- Experience building or working with production data systems
- Understanding of distributed systems, data storage, and processing trade-offs
- Curiosity and ownership mindset when working on complex systems
## Benefits
**What we offer**
- A small, highly skilled team with a strong engineering and research culture
- High ownership and the opportunity to work on impactful systems from day one
- A one-of-a-kind profit sharing scheme that benefits every employee
- A collaborative environment that values curiosity, learning, and technical excellence
**How to apply**
Please send us your CV an cover letter. We are looking forward to hearing from you.
After screening your documents, we will come back to you within two weeks.