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Diconium GmbH is seeking a Senior Data Engineer to join their team in Berlin, focusing on designing scalable data pipelines and implementing new technologies for data processing. The ideal candidate will have at least five years of experience in data engineering and a solid understanding of programming languages and big data technologies.
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Job Summary
You will design and develop scalable data pipelines to efficiently process and analyze large volumes of data.
You will evaluate and implement new technologies and tools in the area of data engineering to continuously improve the efficiency and performance of our data processing processes.
Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.
Matching Summary
Match Score: 75
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Diconium GmbH is seeking a Senior Data Engineer to join their team in Berlin, focusing on designing scalable data pipelines and implementing new technologies for data processing. The ideal candidate will have at least five years of experience in data engineering and a solid understanding of programming languages and big data technologies.
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Skills & Requirements
Must-have
5+ years in Data Engineering
Python, Java, or Scala
Big Data technologies (Hadoop, Spark, Kafka)
Batch and real-time data processing (Spark, Flink)
Cloud data platforms (Azure, AWS, GCP)
Databricks experience
Technical leadership and client advising
Nice-to-have
Machine learning pipelines and models
Agile methodologies (SAFe, Scrum, Kanban)
DataOps and DevOps concepts
Data quality and governance frameworks
Key Requirements
5+ years of relevant work experience in Data Engineering
Proficiency in at least one programming language (Python, Java, Scala)
Experience with Big Data technologies (Hadoop, Spark, Kafka)
In-depth knowledge of batch and real-time data processing frameworks
Hands-on experience with cloud-based data platforms (Azure, AWS, GCP)
Experience in providing technical leadership and advising clients