Our Data Solutions team forms an essential link between our business and infrastructure teams: it defines and implements business processes in data pipelines, monitors existing services and thereby provides the best service to our customers. As a Data Engineer in our Data Solutions team you will be working on a broad set of real-world problems of large scale that have a direct and significant business impact. In close collaboration with our business analysts and software engineers you will create high-performance data processing solutions that scale using emerging technologies and approaches and help us define new best practices.
Designing and implementing distributed, high-volume micro-services through modular, loosely coupled design principles Implementing data models and storage solutions for high accessibility and scalability
Developing and maintaining clearly defined APIs that enable other developers to consume our micro-services through a self-service model
Developing and deploying highly scalable cloud computing technologies
Optimizing back-end performance for maximum speed, scalability and reliability
Balancing the tradeoff between vision and pragmatism
Academic degree in computer science, mathematics or electrical engineering or equivalent professional experience
Experience in processing data at scale, in batches and streams
Spark, Flink, Kafka, Apache Airflow and others are your tools of trade
Fluency in Java and/or Python
Experienced with RDBMS, NoSQL databases, and in-depth understanding of the consistency and availability guarantees they provide
Knowledge of large distributed systems and their properties
Keen on understanding the business which our systems will enable
Intercultural competence and very good communication skills in English (verbal and written)
Be part of the Solactive family, a motivated team with an international setting
Get to know the dynamics of an established, successful FinTech company
Experience a modern start-up culture with a flat hierarchy
Seize the opportunity to develop personally, take over responsibility and maintain direct customer contact from day one
Receive numerous benefits (e.g. gym, regular staff parties like after-work barbecues)
Interested? Don’t miss your chance and send your application including your CV, relevant references, salary expectations and earliest possible starting date to email@example.com. Your contact person is Eva Engelhardt (+49 (69) 719 160-242).
We are looking forward to hearing from you!
Data Engineer (m/f) Financial Industry at Solactive AG (Frankfurt am Main, Deutschland)
Stack Overflow · 08.06.2018