Robert Half Technology are assisting a global market leading financial services organisation to recruit a Data Engineer on an initial 9 month contract basis

Role

• The Data Engineer will lead and execute data migration tasks, working closely with cross-functional teams to ensure seamless integration and data quality.
• Design, implement, and optimise ETL processes to facilitate data collection, transformation, and loading from diverse sources.
• Build, maintain, and improve the Snowflake data warehouse, ensuring scalability and resilience for future reporting needs.
• Collaborate with business users, providing guidance on data management practices and troubleshooting data quality issues.
• Develop and maintain Python scripts and data pipelines for automation and streamlined data processes.
• Conduct rigorous data cleansing, validation, and testing to uphold high standards of data integrity across all systems.
• Support and mentor team members in best practices for data engineering, ETL, and warehousing, fostering a collaborative environment.
• Identify and address issues within the financial lending data set, applying industry knowledge to improve data reliability.

Profile

• The Data Engineer will have extensive experience with the full data lifecycle, including data collection, ETL processes, cleansing, testing, and validation.
• Good knowledge of data sharing back to business users either via BI tools or direct data access for self-analysis in excel.
• Strong programming skills in Python for data engineering tasks, automation, and scripting.
• Proficient with data movement tools and techniques, ensuring efficient data integration and transformation across systems.
• Hands-on experience with Snowflake, including data warehousing architecture, setup, and optimisation for reporting.
• Familiarity with data governance principles, data quality standards, and best practices in ETL and data warehousing.
• Industry experience within the financial lending sector is highly desirable, especially in addressing domain-specific data challenges.
• Proven ability to mentor and develop less experienced data engineers, sharing best practices in data management and ETL.
• Strong analytical skills with attention to detail, ensuring data accuracy and reliability.

Company

• Global market leading financial services organisation with offices in London
• Hybrid working - on site required

Salary & Benefits

The salary range/rates of pay is dependent upon your experience, qualifications or training.

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