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Senior Data Platform Engineer

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Job

  • Level
    Senior
  • Job Field
    Data, Back End
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Permanent employment
  • Location
    Berlin
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you develop integration solutions for data processing in the banking sector, design the data architecture, and implement scalable systems using technologies like Apache Camel and Kafka.

    Job Technologies

    Your role in the team

    • You develop and operate central integration solutions that make our data flows in the banking environment—particularly in the detection, prevention, and analysis of fraud—reliable, scalable, and future-proof.
    • In this role, you work at the interface between the business unit and technology, actively shaping our integration and data architecture.
    • Development and operation of integration solutions for orchestration, transformation, and enrichment of data, as well as technical design and further development of our integration architecture for fraud detection use cases.
    • Implementation of complex data flows and interfaces in the banking environment, taking regulatory requirements into account.
    • Implementation of robust, scalable, and maintainable solutions in Apache Camel and Groovy, as well as the development of event-driven architectures (e.g., with Kafka).
    • Conducting developer and integration testing and ensuring code quality (reviews, best practices, clean code)
    • Analyze technical requirements together with Business Analysts and translate them into technical solutions.
    • Monitoring, error analysis, and continuous optimization of existing data processes

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    Our expectations of you

    Education

    • Completed degree in Computer Science, Business Informatics, or a comparable qualification, along with several years of professional experience in software development (Senior level).

    Qualifications

    • Knowledge of Git/Gitlab, containerization and orchestration (e.g., Kubernetes), as well as proficient handling of APIs and data formats (REST, SOAP, JSON, XML).
    • Structured, analytical, and solution-oriented working style, strong communication skills, and enjoyment in collaborating with specialist departments.

    Experience

    • Extensive experience with integration solutions and distributed systems, as well as experience with JVM-based technologies (e.g., Groovy, Java), is desired, along with experience with SAS platforms (e.g., SAS Fraud Management, SAS Viya), which is advantageous.
    • Experience with modern data and event streaming technologies (e.g., Kafka) and with cloud technologies and distributed systems (e.g., AWS)

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    What we offer

    • Part-time & full-time possible
    • From now on

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    Benefits

    Health, Fitness & Fun

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    Work-Life-Integration

    Topics that you deal with on the job

    Job Locations

    • Location Berlin

      Germany

    This is your employer

    Deutsche Kreditbank Aktiengesellschaft

    Deutsche Kreditbank Aktiengesellschaft

    Deutsche Kreditbank AG's subsidiary, Die DKB Service GmbH, is a crucial service provider within the group and plays an important role in its success. With over 1,400 employees, we are both efficiency drivers and impulse generators for Deutsche Kreditbank AG.

    Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Banking, Finance, Insurance
  • Dev Reviews

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    Total

    (1 Review)
    3.4
    • Career Growth

      2.8
    • Engineering

      3.1
    • Culture

      3.5
    • Workingconditions

      4.4
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    Logo Deutsche Kreditbank Aktiengesellschaft

    Senior Data Platform Engineer

    Location
    Berlin
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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