Big Data Engineer (m/f/d) FinTech, Frankfurt am Main

Description

Big Data Engineer (m/f/d) FinTech, Frankfurt

Gewünschtes Eintrittsdatum: ab sofort
Anstellungsart: (Young-) Professional
Ort: Frankfurt a.M.
Beschäftigungsart: Vollzeit

Veröffentlicht am: 20. November 2018

Big Data-Experience wanted! 

Our client is a FinTech company operating globally and growing at a fast pace. Since 2007, they develop tailor-made and multi-asset class index solutions for ETFs and other index-linked investment products for the leading global investment banks and asset managers. As Big Data Engineer in the Data Solutions team you will work on a broad set of real-world problems of large scale that have a direct and significant Business impact. In colse collaboration with the business analysts and software engineers you will create high-performance data processing solutions which will help the define new past practice Solutions. The FinTech company is still growing and looking for a Big Data Engineer in a financial environment in Frankfurt am Main. Join the team!

We offer you:

  • A challenging and exciting field in a very successful and strongly growing FinTech with a flat hierarchy
  • Active teamwork and a steep learning curve right from the start
  • Working with modern, exciting technologies in a fast-paced, highly professional environment
  • Seize the opportunity to develop personally, take over responsibility and maintain direct customer contact from day one
  • Receive numerous Benefits (e.g. gym, staff parties like after work etc.)
  • Free choice of technical equipment (e.g. Mac/Linux)
  • An attractive salary package

 

Your responsibilities:

  • Implementing data models and storage solutions for high volume data in an accessible and scalabale manner
  • Optimizing back-end performance for maximum speed and reliability
  • Handling terabytes of data in optimal data structures
  • Developing and maintaining clearly defined APIs that enable other developers to consume our micro-services through a self-service model
  • Balancing the trade-off between vision and pragmatism

 

Your qualifications: 

  • Academic degree in computer science, related studies or equivalent professional experience
  • Relevant work experience in similar position
  • Knowledge of time-series databases like Kdb, InfluxDB or TimescaleDB for handling intra-day market data
  • Ability to handle large files in formats such as .hdf5 or plain .txt
  • Advanced experience in implementing and optimizing batch data processing jobs in Spark and traditional RDBM systems
  • Fluency in Python
  • Knowledge of large distributed systems and their properties
  • Experience with Kafka and Apache Airflow would be an advantage
  • Very good communication skills in English (verbal and written)
  • Intercultural competence and team player
Please apply online via our contact form. We look forward to learn more about you!
Your contact: Lidija Gotovac / Phone: 0049 30-78 71 25 44 / Let’s connect!

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