Data Engineer (f/m/d)

Data Engineer (f/m/d)

Data Engineer (f/m/d)

Data Engineer (f/m/d)

Amfileon AG

Bankwesen

München

  • Art der Beschäftigung: Vollzeit
  • 56.500 € – 81.000 € (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

Data Engineer (f/m/d)

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Über diesen Job

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 experienced software engineers, DevOps professionals, and researchers. Your work will focus on orchestrating and managing large-scale datasets, developing robust data pipelines, and ensuring reliable and efficient data flow in a production trading environment. Your work will directly impact research velocity and trading performance.

Responsibilities include, among other things.

  • Designing and maintaining scalable ETL pipelines (Python, workflow orchestration systems such as Dagster)
  • Managing and optimizing data storage systems (e.g. columnar and relational databases such as ClickHouse or PostgreSQL)
  • Delivering reliable, high-quality datasets for research and production use
  • Operating data infrastructure (containerized and distributed systems)
  • Monitoring and improving system reliability (observability and alerting tools)

Requirements

Who we are looking for

The ideal candidate will have the following qualities, skills, and experience:

  • Masters degree in Computer Science, Engineering, Mathematics, or a related field
  • Strong programming skills (Python preferred)
  • 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
  • Ability to write reliable and maintainable code
  • 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.

Gehalts-Prognose

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