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Senior Azure Data Engineer | KD Pharma

CompraTica Empleos

EMP:Technology
Europe, Türkiye
Tiempo Completo
Remoto
0 vistas

Descripción

GT was founded in 2019 by a former Apple, Nest, and Google executive.

GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of KD Pharma, GT is looking for a Senior Azure Data Engineer with architecture exposure, interested in assessing, designing, and potentially building a modern data platform to support Finance, Operations/Supply Chain, and Quality/Manufacturing functions.

**Expected Involvement: The engagement is expected to begin with a 6-week discovery phase of approximately 30 hours per week (180 hours total).

  • Following successful completion of the discovery phase and client approval, there is potential to transition into a long-term, full-time implementation role.

Acerca de

the Client Founded in 1988, KD Pharma is a technology-driven CDMO (Contract Development & Manufacturing Organization) specializing in pharmaceutical and nutraceutical production, including ultra-pure Omega-3 concentrates

The company operates internationally, with locations across Germany, Norway, the UK, the USA, Canada and Peru, and provides end-to-end solutions from development and custom synthesis through to finished dosage forms.

About the Project KD Pharma is looking to modernize its current data and reporting environment and establish a scalable, maintainable Microsoft-based data platform supporting multiple business systems and reporting needs.

The current landscape spans roughly nine source systems across Business Central, legacy NAV, QuickBooks and other integrations, with reporting currently relying on a mix of direct ERP/SQL connections and Power BI.

The engagement will initially start with a 6-week Discovery Phase, focused on understanding the existing data estate and defining the target architecture, platform approach and implementation roadmap.

During Discovery, the team will: Assess the existing data landscape, integrations and data flows Identify key architect.

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