Senior Azure/Fabric Data Engineer | KD Pharma

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/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.

About the Client

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

About the Project

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.

About the Role

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.

Responsibilities

• 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

Essential knowledge, skills & experience

• 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

Nice-to-have

• 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

Interview Steps

• GT interview with Recruiter

• Technical interview

• Final interview

• Reference Check

• Offer