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Google Cloud Platform Data Engineer

CompraTica Empleos

EMP:Technology
London
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Descripción

<div style="font-size: 10pt; font-family: 'Tahoma';"> <p>(ID: 2026-2740)</p> <br> <p><strong>Axle Informatics</strong> is a bioscience and information technology company advancing translational research through biomedical informatics, data science, artificial intelligence, and intelligent automation.

We partner with research centers, healthcare organizations, and government agencies around the globe to transform complex data into actionable insights that accelerate scientific discovery and improve decision-making.

Our multidisciplinary teams of experts in biomedical science, software engineering, data engineering, AI, automation, and program management develop innovative technologies, modernize data ecosystems, and create scalable solutions that enable the next generation of research and healthcare innovation.

</p> <p> </p> <div class="ck-content" style="font-family: Tahoma; font-size: 10pt;" data-wrapper="true"> <div style="font-family: Tahoma; font-size: 10pt;"> <p style="border-style: none; margin: 15.

0pt; padding: 0in;"><span style="color: #000000; font-family: Tahoma; font-size: 10pt;"><strong>Role Overview</strong></span></p> </div> <p style="margin: 4.

0pt 0in; text-align: start;"><span style="color: #000000; font-family: Tahoma; font-size: 10pt;">We are seeking an experienced GCP Data Engineer to own the technical pipeline infrastructure for a Finance Transformation program.

The successful candidate will design and implement the shared pipeline architecture that underpins the program's data product delivery, building the Workday and Oracle Finance connectors and owning the unified data model, lineage graph, and real time event capture infrastructure.

</span></p> <p style="margin: 4.

0pt 0in; text-align: start;"><span style="color: #000000; font-family: Tahoma; font-size: 10pt;">This is a senior, hands on engineering role requiring deep expertise in GCP pipeline services, Workday and Oracle API extraction, and data lineage architecture.

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