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Data Engineer (Azure) | KD Pharma at GT. Remote Location: Europe - Remote. 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. GT interview with Recruiter. Technical interview. Final interview. Reference Check. Offer