Data Plattform Engineer

Join one of the most well-known medical companies in Zurich. Our client is looking for a talented individual to take on the exciting role of driving the NextGen Data Platform to new heights. As a key member of our team, you will play a pivotal role in shaping the future of data technology.

Main Tasks: Your main tasks involve the conception, implementation, further development, operation, and documentation of the NextGen Data Platform. This includes:

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Identification of new useful technology components: You will execute Proof of Concepts (PoCs) and pilots to assess the viability of implementing new technology components.
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Construction and operation of data platform components using technologies such as Kubernetes, Apache Stack (Kafka, Spark, Nifi, etc.), S3, and other storage technologies.
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Responsibility for the toolset of various layers of the data platform, including the container platform, ingestion layer, data repositories, analytics toolkits, and visualization layer.
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Definition, monitoring, and assurance of service levels.
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Hardening and performance tuning of the data platform.
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Collaboration with the data engineering team in developing, maintaining, and expanding data preparation services (e.g., ETL/ELT processes) from clinical and administrative source systems to the data platform.
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Development of operational, security, and other concepts.
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Contacts and collaboration with internal and external specialist departments, regional and national groups.
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Taking responsibility for architecture/project programs, including designing and monitoring work packages.
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Providing guidance and taking technical responsibility in projects and sub-projects.
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Presenting results to stakeholders, specialist committees, and management.
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Providing support and advice to customers from clinics, research, and administration.

Your Profile:

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A university or technical college degree in computer science, business informatics, medical informatics, or a comparable higher IT education.
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Experience in conceiving, implementing, and operating data platforms (Cloud GCP, Azure, AWS, or on-premise) and complex data-driven solutions.
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Experience in query/processing methods such as SQL, Apache Spark, Apache Kafka, or similar technologies, as well as knowledge of event sourcing, event streaming, and event brokers.
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Advanced knowledge of storage, virtualization, containerization, and network/software architectures.
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Several years of professional experience in medical informatics or a related field, with experience in clinical data.
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Very good command of both German and English languages.
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A strong sense of responsibility for data and data protection in a sensitive environment.
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Additional training in project management.A high sense of responsibility for data and data protection in a sensitive environment.

If you are passionate about cutting-edge technologies, thrive in a dynamic environment, and want to be at the forefront of data innovation, then we invite you to apply to this role. If you need more information, please email me at e.kramer@jeffersonfrank.com