Senior Data Engineer – Databricks

Candidate Description

With more than a decade embedded in financial services, fintech and regulated sectors, this senior data-engineering professional architects and delivers robust, secure and high-performance data platforms. Their breadth ranges from Azure cloud services and Databricks lakehouse implementations through to executive-level Power BI analytics, underpinned by rigorous governance for privacy and compliance. Adept at liaising with both technical teams and senior stakeholders, they consistently translate complex requirements into scalable solutions.

Key achievements include leading a Financial Institution’s payment-remediation data platform—cutting dashboard refresh times by 75 %—and guiding the bank’s Azure migration strategy through a hands-on proof-of-concept spanning Data Factory, PySpark and ADLS Gen 2. At an Insurance Company, they delivered a metadata-driven ingestion framework from Dynamics CRM and a distribution dashboard celebrated by the CEO as a top initiative. Proven skills in ETL design, data modelling, CI/CD and governance are complemented by certifications such as the Microsoft Certified: Azure Data Engineer Associate and Databricks Fundamentals.

Combining leadership roles like Data Analytics Lead with consultancy assignments for organisations such as a Non-Profit Organization and a Conservation Society, they demonstrate versatility across not-for-profit, insurance, banking and pharmaceutical domains. Comfortable mentoring teams, championing Agile practices and partnering with executives, this individual brings a strategic yet hands-on approach that accelerates data-driven decision-making and drives measurable business value across any enterprise.