Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will design and operate data pipelines and systems for research and live trading by transforming raw data, developing ETL processes, and defining data requirements for meaningful datasets.
Your role in the team
- 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 well-defined dependencies 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)
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Our expectations of you
Education
- Master's degree in Computer Science, Mathematics, or a related field
Qualifications
- Ability to reason about data (ability to identify issues, inconsistencies, and edge cases)
- Solid understanding of data engineering concepts (ETL, data modeling, data warehousing)
- Understanding of distributed systems, data storage, and processing trade-offs
- Neugier und Ownership-Mindset bei der Arbeit an komplexen Systemen
Experience
- The ideal candidate will have the following qualities, skills, and experience:
- Experience building or working with production data systems
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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
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Topics You Will Work On
Job Locations
About Your Employer
Amfileon Ag
Amfileon AG, based in Munich, focuses on systematic, data-driven approaches to liquid capital markets. The company provides a variety of financial services, including investment brokerage and financial portfolio management, utilizing modern technologies and trading algorithms.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Banking, Finance, Insurance
Data Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
