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2 data analytics jobs found in Düsseldorf

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Vodafone
17/02/2026
Full time
Senior DevOps Engineer Customer Data Hub (m/f/d)
Vodafone Düsseldorf, Germany
Senior DevOps Engineer Customer Data Hub (m/f/d) Job ID:   277720 At Vodafone, we work every day for a better future—a world that is more connected, inclusive, and sustainable. For us, technology is only as strong as the people who use it. Join us and let’s shape the world of tomorrow together. The agile Release Train of the Customer Data Hub is responsible for the development and operation of platforms that provide converged customer data in real time across all IT stacks. Our team relies on innovative technologies such as K2View Fabric, Kafka and cloudnative architectures on AWS, supporting millions of API calls and event triggers per month that enable digital interactions for millions of customers. As a Senior DevOps Engineer Customer Data Hub, you take endtoend responsibility for the operation and deployment of our businesscritical platforms, actively shape their technological direction and make a direct contribution to Vodafone’s digital transformation and...
rheindata GmbH
11/03/2026
Full time
Data Engineer (all genders) specializing in Databricks
rheindata GmbH Cologne, Germany
At rheindata, we believe that data is more than just numbers – it's the foundation for decisions, a driver of growth, and an engine of innovation. Our mission:   to create real, measurable added value from data   . We develop modern data pipelines, data platforms, BI solutions, and AI models that are scalable and maintainable in the long term. We work agilely, transparently, and respectfully, both internally and with client teams. Our culture thrives on team spirit: summer parties, quarterly and team meetings, and Christmas celebrations are all part of our routine. We want everyone to contribute, feel comfortable, and grow. Job description As a   Data Engineer (m/f/d) specializing in Databricks,   you will be a crucial part of our data-driven solutions. You will develop modern data pipelines, support architectural decisions, and ensure that data flows where it is needed – cleanly, efficiently, and scalably. You will work on exciting projects related to Lakehouse...
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