Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwirfst und betreibst du Datenpipelines sowie -systeme für die Forschung und den Live-Handel, indem du Rohdaten transformierst, ETL-Prozesse entwickelst und Datenanforderungen für bedeutungsvolle Datensätze definierst.
Deine Rolle im 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)
Unsere Erwartungen an dich
Ausbildung
- Masters degree in Computer Science, Mathematics, or a related field
Qualifikationen
- 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
- Curiosity and ownership mindset when working on complex systems
Erfahrung
- The ideal candidate will have the following qualities, skills, and experience:
- Experience building or working with production data systems
Unser Angebot
- 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
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Amfileon Ag
Die Amfileon AG mit Sitz in München hat sich auf systematische, datenbasierte Ansätze für liquide Kapitalmärkte fokussiert. Das Unternehmen stellt verschiedene Finanzdienstleistungen bereit, wie etwa die Vermittlung von Anlagen und die Verwaltung von Finanzportfolios, wobei moderne Technologien und Handelsalgorithmen zum Einsatz kommen.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Onsite
- Branche
- Banken, Finanz, Versicherung
Data Engineer
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
