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A leading financial institution is seeking a Data Engineer to design and maintain scalable data pipelines. The role involves ETL development, data quality governance, and collaboration with various teams to deliver effective data solutions. Candidates should possess strong SQL and Python skills, along with experience in reporting tools. The position promotes a hybrid work environment and values diversity and inclusion.
Requisition ID: #
The Global Performance Measurement Team manages performance measurement solutions, including Planning and Forecast applications and Financial Information Systems across various business lines and enterprise finance functions.
The Data Engineer will design, build, and maintain scalable data pipelines and systems to support IT&S Finance, enterprise finance functions, and the broader IT organization. Responsibilities include developing and optimizing ETL processes, ensuring data integrity, and enabling advanced analytics for strategic decision-making. Collaboration with data scientists, analysts, finance professionals, and the FIS team is essential to deliver cost-effective, timely data solutions, including system enhancements, reporting, and performance measurement initiatives.
We promote diversity, equity, inclusion, and allyship, creating a culture where everyone can thrive. We are committed to accessibility and workplace accommodations to ensure an inclusive environment for all.
#LI-Hybrid
#ScotiaTechnology
Location: Toronto, Ontario, Canada
Scotiabank is dedicated to helping customers and communities succeed. We value diverse skills and experiences and are committed to an inclusive environment. If you need accommodations during the recruitment process, please inform our Recruitment team.