Cookie Consent by FreePrivacyPolicy.com
+49 69 959 0919 12

Software Engineer, Real-Time Applications (m/f/d)

  • Data Reply GmbH




When Data Calls, We Reply !

As a Software Engineer for Real-Time Applications, your aim is to architect and/or develop real-time use cases using Open Source and Cloud tools. We are looking for Software Engineers of different levels of experience for our focus area. ‍

Activities

  • As part of our team, you support our customers in the successful development and implementation of complex solutions for mission-critical data analysis and real-time applications
  • With powerful and state-of-the-art open source and cloud technologies, you can work on scalable, cost-effective, and flexible solutions for our customers (e.B. Kafka, Flink, AWS, Azure, ..)
  • Induction and engagement with innovative topics such as Artificial intelligence, cloud, IoT, analytics, next-gen DBs.. 
  • Participate and discuss planning stories, creating concepts in the project, as well as improving and shaping the corporate culture
  • You communicate regularly in an efficient and professional manner with our customers and stakeholders

Requirements

  • We are looking forward to a successfully completed degree in (economic) computer science, mathematics, physics or a similar qualification
  • The proven programming languages (Java, Scala, Python) are no stranger to you
  • You are a communicatively strong team player who thinks in solutions and actively offers them
  • Good German and English skills round off your profile
  • Inner curiosity and willingness to train

Initial experience in one of these technologies can be beneficial (this is required for senior roles):

  • Container and Orchestration Frameworks (Docker, Kubernetes/Openshift, etc.)
  • Cloud (AWS, Azure, Google Cloud Platform)
  • Distributed technologies (Kafka, Spark, Flink ..)

Team

Data Reply, as part of the Reply Group, offers a wide range of services to help clients become data-driven. The team is active in various industries and business areas and works intensively with customers to help them achieve meaningful results through the effective use of data.

- Project team size at Data Reply: generally between 2 and 8 people

Application Process

1. Technical Interview

2. HR Interview

3. Final talk regarding your contract :-)

Job Location
Stelle mit anderen teilen: