Senior Consultant Apache Kafka & Distributed Data Systems in Berlin bei beON Consult GmbH ( beON“)

About us

As exclusive IT consultancy, we provide innovative IT services and powerful software technology solutions for market-leading enterprise clients. We specialize in the most advanced tech stack projects, and enjoy a reputation for consistently providing our clients with the competitive edge they need to shape their digital future. beON is characterized by a flat and agile structure with an international as well as modern corporate culture. The company is headquartered in Kiel, Germany with additional offices, project and/or training centres in Düsseldorf, Munich, Vienna, Lisbon as well as Hyderabad (India). We value the collaboration with our employees. No matter where you are, you will be part of an engaged and diverse tech community with plenty of development & learning opportunities.

Benefits: you earn & learn

If you’re ready to take on responsibility, you’ve come to the right place. Your experience matters at beON. You will receive above-average financial compensation in form of salary & benefits, job stability and motivating incentives.

There will be plenty of professional development & learning opportunities. Not only will you keep up to date with the latest tech stack, but you will also have the opportunity to develop individually through the guidance of your own team of experts and in learning from external sources. In your career with us, you can constantly expand your own area of responsibility and work creatively as well as independently. You will have access to the tools and resources you need to succeed. A continuous learning curve is guaranteed.

In addition to exciting career prospects, we offer you the flexibility with a hybrid working model to create a work-life balance tailored to your needs. You will be immersed in an appreciative environment that focuses on transparency, fairness and enjoyment at work. The positive atmosphere in the company is usually reinforced by voluntary team events such as joint lunches and after work drinks, sailing, lake festivals, Oktoberfest and shared skiing. In times of pandemic, the possibility of working remote from home protects your health and safety.

• Type of employment: permanent unlimited
• Workload: full-time
• Places of work: hybrid: remote in combination with Office time in Düsseldorf or Cologne, Frankfurt am Main, Munich, Vienna, Berlin
• Languages: German and English
• Start: as soon as possible
• Salary: The salary range is open upwards with additional bonus opportunities and salary increases, depending on the candidate’s experience

Responsibilities

• As Senior Consultant Apache Kafka & Distributed Data Systems you will be responsible for the design, architecture, administration, and deployment of customized and advanced event streaming platforms based on Apache Kafka, current industry standards, and using the latest tools and methods.
• You are in close contact with your customer and are responsible for the preparation, planning, migration, control, monitoring and implementation of highly scalable Apache Kafka event streaming platforms or Distributed Data Systems projects and for comprehensive customer consulting on the current state of these technologies.
• As a Senior Consultant for Big Data Management and Stream Processing, your goal is to lead the design and implementation of architectures for streaming platforms and stream processing use cases using open source and cloud tools.

Qualifications

• Completed studies or comparable training with a technical background
• Sound experience and knowledge in Java
• Solid experience with Apache Kafka or similar large-scale enterprise distributed data systems with various distributed technologies e.g. Apache Kafka, Spark, CockroachDB, HDFS, Hive, etc.
• Experience in software development and automation to run big data systems
• Experience with developing and implementing complex solutions for Big Data and Data Analytics applications
• Experience in system deployment and container technology with building, managing, deploying, and release managing Docker containers and container images based on Docker, OpenShift, and/or Kubernetes
• Experience in developing resilient scalable distributed systems and microservices architecture
• Experience with various distributed technologies (e.g. Kafka, Spark, CockroachDB, HDFS, Hive, etc.)
• Experience with stream processing frameworks (e.g. Kafka Streams, Spark Streaming, Flink, Storm)
• Experience with Continuous