Senior AzureFabric Data Engineer | KD Pharma

GT was founded in 2019 by a former Apple Nest and Google executive.GTs mission is to connect the worlds 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/Fabric 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 will initially start with a part-time discovery phase of approximately 20 hours per week with the potential to transition into a full-time implementation role following the discovery phase and client approval.

Founded in 1988 KD Pharma is a pure-play technology-driven CDMO (Contract Development & Manufacturing Organization) dedicated to revolutionizing pharmaceutical and nutraceutical production. They are uniquely recognized for offering ultra-pure Omega-3 concentrates at commercial scale through patented supercritical fluid chromatography technologies.

Located in Germany Norway the UK the USA Canada Peru and with sales presence across Asia they deliver end-to-end solutions from custom synthesis to finished dosage forms while adhering to cGMP and global certifications

The project aims to assess and establish a robust Azure and Microsoft Fabric-based data platform to support BI Finance Operations/Supply Chain and Quality/Manufacturing with executive visibility.

The initial discovery phase will focus on reviewing the existing data estate business requirements source-system integrations platform capacity operating costs data quality governance and reporting needs.

A key part of the assignment will be assessing the appropriate use of Microsoft Fabric Azure Data Factory and other Azure data services and defining a scalable cost-effective target architecture.

The platform is expected to integrate data from multiple ERP manufacturing and quality systems including Business Central TrackWise and SAP ECC6 extracts.

This is a hands-on senior role combining data engineering architecture and client-facing advisory work.

You will help translate business and technical requirements into practical architecture recommendations assess key trade-offs and define an implementation roadmap. The ideal candidate is a pragmatic architect-builder who can work independently and communicate clearly with both technical and business stakeholders.

Following the discovery phase the role may transition into a full-time implementation engagement.

• Assess the current Azure and Microsoft Fabric data environment

• Define the target data architecture and implementation roadmap

• Design medallion and metadata-driven ETL/ELT solutions

• Evaluate Fabric capacity performance and cost

• Integrate data from ERP manufacturing and quality systems

• Design Power BI semantic models and data-governance standards

• Collaborate with business and technical stakeholders during discovery

• Support hands-on implementation following client approval

• 6 years of experience in data engineering BI or data platforms

• Strong hands-on experience with Azure Data Factory and Azure Data Lake Gen2

• Practical commercial experience with Microsoft Fabric including Lakehouse or Warehouse components

• Advanced SQL/T-SQL skills

• Experience with Python or PySpark

• Strong Power BI experience including DAX Tabular modelling semantic models and dimensional modelling

• Experience designing ETL/ELT pipelines medallion architectures and data-integration solutions

• Experience with Git Azure DevOps and CI/CD pipelines

• Architecture exposure through discovery solution design technical estimation or technology-selection decisions

• Strong English and client-facing communication skills

• Fabric capacity monitoring SKU sizing or cost-optimisation experience

• Metadata-driven ETL framework experience

• Multi-ERP integration experience particularly Business Central or SAP

• Experience with Purview Databricks Synapse pharma manufacturing or GxP environments

• Background in regulated manufacturing/pharma (GxP) can be learned

1. GT interview with Recruiter

2. Technical interview

3. Final interview

4. Reference Check

5. Offer

Required Experience:

Senior IC