For an internationally operating, renowned e-commerce company based in Ingolstadt (Germany), we are looking for a qualified Cloud Data Engineer to join the team as soon as possible. This position is a permanent employment with Randstad Professional on an exclusive assignment with our client. Are you passionate about modern data architectures and looking to take a global player's data platform to the next level? In this role, you will support the Business Data Tooling and Decoupling as well as the Data Platform Domain teams.
Duration: 6 months (with excellent prospects for extension)
Location: Flexible – approx. 70% remote / home office, approx. 30% On-site in Ingolstadt
Workload: Full-time (attractive 37.5 hours/week)
Architecture & Modeling: Design, build, and continuously maintain the central LookML structure within a modern hub-and-spoke architecture to guarantee a reliable Single Source of Truth.
Platform Administration: Manage governance and administration of the BI platform, including user access management, content management, and Looker API support.
Data Integration: Provide expert consulting and collaborate closely with data teams to design and optimize BigQuery data structures for seamless integration into the BI ecosystem.
Clean Code & QA: Define and establish coding standards for LookML, including modularization, Git version control, and automated testing.
Stakeholder Management: Act as an interface and effectively communicate complex technical architectures to business stakeholders to promote company-wide data standards.
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Education: Successfully completed degree in Computer Science, Business Informatics, or a comparable qualification with relevant professional experience.
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Experience: At least 3 to 5 years of solid professional experience in Cloud Data Engineering, with a strong focus on the Looker BI ecosystem.
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Tech Stack: Proficiency in working with LookML structures, as well as deep knowledge of Google BigQuery and modern BI architectures.
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Mindset: Proactive, solution-oriented mindset and proven experience working within agile, cross-functional teams.
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Languages: Professional fluency in written and spoken English (project language); knowledge of German is a plus.
