Senior Data Engineer – Azure & AWS

Candidate Description

With close to eight years of multi-industry experience, this Senior Data Engineer excels at building and optimising cloud-native data platforms across Azure, a Cloud Service Provider and a Cloud Platform. Their portfolio spans media, banking, retail, healthcare and financial domains, underpinned by strong proficiency in SQL, Python and PL/SQL. They combine deep knowledge of modern data-engineering stacks—Azure Data Factory, Databricks, Synapse Analytics, a Cloud Service Provider and a Cloud Platform—with a proven ability to translate business requirements into scalable, maintainable solutions.

Technically adept, they have delivered complex cross-cloud migrations for a Media Group, implementing cloud-driven ingestion services and Airflow orchestration to power near-real-time reporting. Previous engagements at a Technology Services Company, a Consulting Firm and a Consulting Firm saw them design Spark-based transformation jobs, automate infrastructure with infrastructure as code, and craft Power BI visualisations for executive stakeholders. Throughout these projects they adhered to Agile and DevOps best practices, driving continuous integration, testing and deployment across diverse environments.

Their leadership style emphasises collaboration, mentoring junior engineers and fostering high-performance teams that readily adapt to rapidly changing data-landscapes. Adept at stakeholder engagement and armed with an extensive suite of certifications, they consistently deliver robust, future-proof data solutions that enable organisations to unlock actionable insights and achieve strategic objectives.