Dear Consultant,
We are seeking a skilled Data Engineer to join our client, a prominent global player in the financial sector. This role involves working closely with data-driven teams at a leading multinational financial firm to design and implement efficient data pipelines and solutions.
If you’re interested in leveraging your data engineering skills with a top-tier financial institution, please contact me.
Job Description:
Data Office team within Corporate Treasury Engineering performs governance function on all aspects related to data – collection, persistence and distribution. Additionally, the team works on data uplift projects that span across multiple teams within as well as outside of Corporate Treasury division.
Responsibilities:
• Understand the data consumed within Corporate Treasury
• Identify data gaps, data uplift and data consolidation opportunities
• Work with multiple data consumers to understand the data requirements
• Work with multiple data providers to source the data for Corporate Treasury needs
• Create logical data models to represent financial assets
• Direct the control and governance requirements for data quality
• Implement data quality controls
Qualifications:
• Bachelors’ or Master’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
• Programming experience in Python 5+ years and/or a compiled language (e.g. C, C++, Java)
• Strong proficiency with SQL
• 5+ years of relevant, continuous experience
• Experience at optimizing large complicated SQL statements
• Strong developers with good knowledge of data structures and algorithms
• Strong DB experience – Snowflake, MongoDB preferred
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
• Excellent communication skills including experience speaking to technical and business audiences and working globally
• Familiarity with financial markets and financial assets is a plus
• Familiarity with tools that can aid with troubleshooting and performance optimization of SQL queries is a plus
• Experience working in Agile methodologies
• Fluency in English