Senior Azure & Fabric Data Engineer

Candidate Description

With over six years of dedicated experience across cloud data engineering and analytics, this professional excels in designing, building and optimising modern data platforms on Azure, AWS and Google Cloud. They bring breadth across data warehousing, lakehouse architecture and big-data processing, coupled with foundational strengths in Python, SQL and advanced ETL design. Having served a variety of sectors through a Technology Company, a Consulting Firm, and another Consulting Firm, they demonstrate a proven ability to navigate complex stakeholder environments while delivering scalable, secure solutions.

Their technical acumen is highlighted by end-to-end ownership of Customer 360 initiatives, serverless ingestion frameworks and Airflow-driven orchestration. Adept at services such as Azure Data Factory, Microsoft Fabric, BigQuery, Apache Airflow and AWS Glue, they consistently implement CI/CD best practices using GitHub and Terraform. Key achievements include launching a customer-facing analytics portal at a Technology Company, reducing BigQuery costs for stakeholders via custom monitoring, and automating multi-cloud backup strategies, all executed within Agile delivery models.

Combining hands-on engineering with leadership and mentoring, this individual fosters collaborative, high-performance teams, liaising effectively with business analysts and senior stakeholders to align technical solutions with strategic objectives. Their adaptability across consulting, media and Microsoft partner environments underscores a capacity to tackle diverse challenges. Organisations seeking a results-driven Senior Data Engineer with deep multi-cloud expertise and a passion for continual innovation will find strong value in their profile.