Azure Data Engineer

Candidate Description

With over four years of dedicated experience in data engineering, this professional excels at building robust analytics platforms on Azure and AWS for consulting, financial services and manufacturing clients. Skilled in leveraging services such as Azure Data Factory, Databricks, Microsoft Fabric and Power BI, they design reusable, high-performance data pipelines that streamline integration and empower data-driven decision-making. A solid grounding in SQL and Python, combined with a track record of gathering complex business requirements, underpins their strong analytical capabilities.

Adept at orchestrating large-scale ETL workflows, they have delivered end-to-end solutions for organisations including a Consulting Firm, a Global Insurance Firm and a Major Bank. Highlights include architecting parametrised ADF pipelines that improved load times, implementing Lakehouse architectures in Microsoft Fabric, and crafting Databricks jobs that reliably process high-volume financial datasets. Their technical repertoire spans data-quality frameworks, source-control practices with Git, and Agile delivery, ensuring consistent, production-grade outcomes.

Beyond technical delivery, this individual is recognised for collaborative leadership mentoring junior engineers, coordinating cross-functional teams and maintaining clear stakeholder communication. Their adaptability across multiple cloud ecosystems and diverse domains demonstrates a capacity to tackle complex challenges and rapidly adopt emerging technologies. Hiring them brings a proactive, certified Azure Data Engineer who consistently delivers scalable, high-quality solutions that unlock business value.