Data Engineer (Azure) | KD Pharma

GT is seeking a Data Engineer (Azure) for KD Pharma, a CDMO specializing in ultra-pure Omega-3 concentrates. This role involves building and scaling a modern Azure-based data platform for BI, supporting Finance, Operations/Supply Chain, and Quality/Manufacturing. The project focuses on improving data quality, lineage, reliability, and time-to-insight, with a long-term opportunity to own and shape the data platform and grow as a data leader in a global organization.

Must Have

• 4-6 years of experience
• Own the Azure data platform architecture & roadmap
• Design, build, and operate ETL/ELT pipelines into ADLS/Warehouse
• Model data for Power BI
• Implement data quality, lineage, governance & security
• Partner with BI analysts to deliver reusable, trusted semantic models and dashboards
• Drive reliability & cost optimisation
• Support immediate projects: Business Central (ERP + MES), TrackWise (QMS), ECC6 extracts

Good 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)

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 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

The project is to establish a robust Azure-based data platform for business intelligence (BI). 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:

• 0–6 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.
• 6–24 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

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

1. GT interview with Recruiter

2. Technical interview

3. Final interview

4. Reference Check

5. Offer

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