Back
Generalist data-engineering title with broad skills and junior-mid level increases competition despite niche finance domain.
Strong securities and reconciliation domain requirements limit cross-industry transferability.
Explicit 2+ years plus mandatory finance domain and SQL/scripting requirements create strict shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Create and manage data connections, ensuring reliable import, validation, and transformation of external portfolio data.
Automate monitoring and reporting processes to support ongoing improvements in data workflows, particularly auto-reconciliation.
Design and implement solutions to normalize datasets and improve auto-reconciliation, responding to requests from Operations and Development teams.
Bachelor's degree in Math, Computer Information Systems, or related field.
2+ years of relevant work experience.
Proficiency in SQL and relational database principles; experience with scripting languages such as Groovy, Perl, or Python.
Experience with securities, accounting, and financial data, including industry-standard data transmission protocols.
Strong technical ability to develop and automate data pipelines and validation processes in financial or securities domain.
Experience working with cross-team collaborations, including Operations and Development, to implement iterative improvements.
Capable of translating complex technical processes into clear communication for non-technical stakeholders.