Description

Design and manage data architectures for Corporate Treasury, owning the full lifecycle from gap identification to automated quality control implementation.

Responsibilities

• Identify data gaps and consolidation opportunities to drive data uplift.
• Collaborate with providers and consumers to define precise data requirements.
• Create logical data models that accurately represent financial assets.
• Implement automated data quality controls to ensure governance and reliability.
• Direct control processes to maintain strict data quality standards.

Required Skills

• 5+ years of continuous experience in data engineering roles.
• Strong proficiency with SQL and experience optimizing large, complex queries.
• 5+ years of programming experience in Python.
• Experience with compiled languages such as C, C++, or Java.
• Extensive database experience, specifically with Snowflake or MongoDB.
• Solid understanding of data structures and algorithms.
• Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related technical discipline.

Key Skills

Education

Bachelor's degree in Computer Science