The Lead Full Stack Data Engineer owns Data products across the full lifecycle: from data ingestion and transformation through to semantic modelling, reporting, documentation, and user adoption. Working closely with commercial, operations, finance, and clinical stakeholders, the role translates complex and often ambiguous business requirements into explicit, reliable, and scalable Analytics solutions built on Microsoft Fabric and Power BI.

This position requires strong technical capability across data engineering and Analytics, a structured analytical mindset, and the ability to collaborate effectively with both technical and non-technical stakeholders.

About Role
1. End-to-End BI Solution Development
- Design, develop, and implement full-stack Data solutions from data ingestion through to user-facing reports and apps.
- Take ambiguous business questions and translate them into well-defined data products, including data models, semantic layers, dashboards, and supporting documentation.
- Manage delivery from discovery and prototyping through validation and production support.




- Ensure data accuracy, integrity, and reliability across all Data solutions.

2. Data Pipelines, Modelling, and ETL
- Develop and maintain ingestion and transformation pipelines using Microsoft Fabric (Data Factory pipelines, dataflows Gen2, copy activities).
- Land, organise, and structure data using Fabric Lakehouse and/or Data Warehouse patterns.
- Implement layered data architectures (e.g. bronze / silver / gold) to ensure modular, reusable, and testable transformations.
- Set ETL/ELT standards, performance optimisation, and scalable design.
- Apply data quality checks, validation rules, and monitoring to proactively identify issues.
- Build and govern the data foundations that AI and ML depend on – clean, well-modelled, well-documented datasets and feature-ready
- CI/CD for the data platform (GitHub) - branching, automated testing deployment pipelines and raise the bar on engineering disci

📌 Lead Full Stack Data Engineer (India)
🏢 Convatec
📍 India