Senior Data Engineer

Candidate Description

A versatile Senior Data Engineer with extensive experience spearheading cloud-centric data initiatives across financial services, energy, healthcare and government sectors. Leveraging deep expertise in Azure, AWS and Databricks platforms, they specialise in end-to-end data lakehouse architecture, complex migrations, and robust governance frameworks. Their analytical mindset and command of Python, Spark-SQL and Power BI consistently translate raw data into actionable business insights.

Their technical acumen is demonstrated through the delivery of medallion-architecture pipelines at a Financial Institution, where REST-sourced Cloud Service data is normalised, historised and surfaced for real-time CRC dashboards. Adept at Azure Data Factory, Azure Synapse Analytics, a Data Governance Tool and CI/CD with a DevOps Platform, they have also operationalised a Bank & AI Company's AITD model within Machine Learning notebooks, ensuring traceable and reproducible machine-learning outputs. Previous engagements with an Energy Company, a Health Department and a Software Company highlight proficiency in dimensional modelling (Kimball & SCD-Type 2), geo-analytics with GeoPandas, and enterprise reporting through Power BI and SSIS.

Combining hands-on engineering with stakeholder engagement, this professional mentors junior data engineers, authors comprehensive runbooks and lineage documentation, and collaborates seamlessly with product owners, analysts and project managers. Their commitment to governance, security and scalable design positions them as a valuable asset for organisations seeking to unlock data-driven decision-making through modern cloud platforms.