Senior Azure Data Engineer

Candidate Description

With over 13 years navigating the data-engineering landscape across consulting, banking and technology sectors, this professional excels in architecting large-scale ETL/ELT pipelines and cloud data-platform solutions. Their expertise spans Snowflake, Azure Data Factory, Databricks and AWS, underpinned by strong dimensional-modelling skills and a commitment to CI/CD automation via Azure DevOps. Adept at leveraging AI-assisted tools like Microsoft Copilot, Claude Code and ChatGPT, they accelerate delivery while maintaining high code quality for clients such as a Resort, a Mutual Group and a Compliance Company.

Their technical acumen is demonstrated through the design of metadata-driven frameworks that cut dataset onboarding times by up to 60 % and the development of JSON-configurable pipeline patterns that reduce build effort by 40 %. Proficient in Python, SQL and Apache Kafka, they have delivered zero-downtime cloud migrations, optimised Oracle Exadata workloads and spearheaded real-time streaming prototypes using Confluent ksqlDB and Apache Flink. Continuous integration with GitHub, Jenkins and Flyway, alongside robust data-governance practices, showcase a track record of delivering resilient, compliant and high-performance data solutions.

Complementing deep technical skills, they are recognised for leadership and mentorship—guiding cross-functional teams, coaching junior engineers and collaborating with business stakeholders to translate complex requirements into scalable architectures. Their adaptability across diverse domains, from telecommunications at a Telecommunications Company to affiliate marketing at a Marketing Company, highlights an ability to drive value in varied environments. Holding both AWS and Microsoft cloud certifications, they offer organisations a versatile, results-oriented data-engineering leader committed to delivering measurable impact.