Data Flow Engineer

Job Summary: 

The Data Flow Engineer's primary role is to create and manage data connections, perform validations, and execute transformations. Their work is integral to the ongoing process of iterative improvement, with a particular focus on enhancing auto-reconciliation within the system through advanced technology. 

Responsibilities: 

• Import and validate file delivery for new clients. 

• Automate daily process monitoring and reporting. 

• Establish connections through external APIs and FTPs. 

• Ensure timely and dependable consumption of external portfolio data. 

• Normalise external datasets into a standardised Clearwater format facilitating the in-take process. 

• Mine data from existing feeds to identify, design, and implement solutions to improve auto-reconciliation. 

• Execute improvements requested from Operations and Development groups. 

• Apply acquired skills, procedures, and decision-making best practices to complete various issues, such as normalising new feeds and improving automation. 

• Understand and reference or explain the general workflow, tools, and Clearwater value proposition. 

• Use critical thinking to address issues and offer solutions for both internal and external parties, ensuring best practices are employed. 

• Clearly and effectively communicate the technical aspects of Clearwater systems and our best practices with non-technical internal and external stakeholders. 

• Engage in light on-call duties. 

Required Skills: 

• Strong understanding of SQL and relational database principles. 

• Experience with scripting programming languages like Groovy, Perl or Python. 

• Some knowledge of securities, accounting, or financial topics preferred. 

• Strong computer skills, including proficiency in Microsoft Office.  

• Excellent attention to detail and strong documentation skills.  

• Outstanding verbal and written communication skills.  

• Strong organisational and interpersonal skills. 

• Exceptional problem-solving abilities. 

Education and Experience: 

• Bachelor's degree in Maths, Physics, Computer Information Systems, or other relevant degrees. 

• 1+ years of relevant experience, or Master's degree in relevant discipline, preferred.