Fabric Data Engineer

Candidate Description

With over seven years navigating complex data landscapes, this senior data engineer demonstrates deep expertise in architecting production-grade pipelines across major cloud platforms for public-sector, consulting and e-commerce environments. They possess hands-on mastery of data platforms, complemented by strong skills in PySpark, Python and dimensional modelling, enabling the delivery of reliable, high-performance analytics solutions.

Their technical acumen is evidenced by successful migrations of legacy workloads to modern cloud stacks, the design of Kimball-compliant data warehouses, and implementation of CI/CD-driven dbt frameworks. Adept at orchestrating pipelines with workflow management tools, they have built robust data governance, security and quality controls that satisfy stringent AML and regulatory requirements for clients such as a Consulting Firm, an E-commerce Company and a Professional Services Firm.

Beyond hands-on engineering, this professional provides leadership through mentoring, code reviews and the establishment of best-practice standards. Comfortable engaging business and technical stakeholders alike, they align data strategy with organisational goals—whether coordinating with council departments at a Government Organization or advising financial-services clients. Their blend of technical depth, consultative approach and governance focus positions them to drive scalable, trusted data platforms that unlock enterprise insight and innovation.