Data Engineer (Azure) | KD Pharma
Data Engineer (Azure) | KD Pharma
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Job Description
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 Data Engineer (Azure) interested in building and scaling a modern data platform to support Finance Operations/Supply Chain and Quality/Manufacturing functions.
About the Client & the Project
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
Theprojectaims to establish a robust Azure-based data platform to support BI Finance Operations/Supply Chain and Quality/Manufacturing. Primary Support Functions: Finance Operations/Supply Chain Quality/Manufacturing with executive visibility.
It includes assessing Microsoft Fabric vs. Azure Data Factory (ADF) and if needed re-platforming to a scalable ADF-led architecture.
About the Role
This role will focus on improving data quality lineage reliability and time-to-insight while helping reassess Fabric vs. an Azure Data Factory architecture. This is a high-impact role offering the long-term opportunity to own and shape the Azure data platform and grow as a trusted data leader in a global organisation.
Success Measures:
06 months: Audit current estate define migration plan build ADF pipelines for priority sources (Business Central TrackWise) achieve >98% dataset refresh success establish baseline data quality checks & lineage.
624 months: Deliver a consolidated Lakehouse/Warehouse with governed semantic models optimised for cost & performance with documented controls and stakeholder CSAT/NPS 8/10.
Responsibilities
Own the Azure data platform architecture & roadmap (ADF vs Fabric; Synapse/Databricks evaluation)
Design build and operate ETL/ELT pipelines into ADLS/Warehouse
Model data for Power BI (DAX/Tabular)
Implement data quality lineage governance & security (Purview RBAC CI/CD)
Partner with BI analysts to deliver reusable trusted semantic models and dashboards
Drive reliability & cost optimisation (monitoring alerting SLAs)
Support immediate projects: Business Central (ERP MES) TrackWise (QMS) ECC6 extracts
Essential knowledge skills & experience
Experience Level: 4-6 years of experience
Strong expertise in Azure Data Factory & Azure Data Lake Gen2
Advanced SQL/T-SQL
Power BI (DAX Tabular modeling deployment pipelines)
Python or PySpark
Git & Azure DevOps (CI/CD pipelines)
Dimensional modeling
Security & RBAC
Preferred backgrounds: Microsoft data stack in mid-size enterprises manufacturing/pharma/regulatory experience or consulting exposure.
Nice-to-have
Experience with Synapse Databricks and Delta Lake
Knowledge of Microsoft Purview IaC (Bicep/Terraform)
Familiarity with ML basics
Background in regulated manufacturing/pharma (GxP) can be learned
Soft Skills
Strong communication & collaboration abilities
Pragmatic architect-builder mindset able to balance strategy with hands-on delivery
Comfort in leading technology choices and engaging stakeholders
Results-driven with focus on data reliability governance and business value
Interview Steps
GT interview with Recruiter
Technical interview
Final interview
Reference Check
Offer
Employment Type
Full-Time
