Robert Half is recruiting an experienced data engineer for a London-based financial service organisation. This is an initial 9-month contract with the potential for extension.
Responsibilities:
We are seeking a Data Engineering Lead to drive data migration and ETL processes for high-quality, seamless data integration. This role will support data management, maintain our Snowflake data warehouse, and lead automation and transformation efforts.
* Execute data migration and integration, ensuring data quality and integrity.
* Design and optimise ETL processes to streamline data workflows from diverse sources.
* Manage and scale Snowflake data warehousing for resilient, long-term reporting.
* Collaborate with business teams on data management and resolve data quality issues.
* Develop Python scripts and automated pipelines for efficient data processes.
* Ensure data validation and testing to maintain high standards.
* Mentor team members in best practices for ETL, warehousing, and data engineering.
Experience:
* Strong experience in full data lifecycle: ETL, cleansing, testing, and validation.
* Proficiency in Python for data engineering and automation.
* Experience with FiveTran: Utilised for dat cleaning and mitigation
* Solid knowledge of Snowflake and data warehousing architecture.
* Understanding of data governance, quality standards, and BI tools.
* Background in financial lending data management is preferred.
* Strong analytical skills with an eye for detail and reliability.
Company:
* Initial 9 month contract
* Global financial services organisation
* Hybrid working, London-based
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