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Manager, Data Engineer – Toronto, ON

Scotiabank

This is a Contract position in Toronto, ON posted April 27, 2021.

Requisition ID: 103169 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

As Manager, Data Engineer the incumbent contributes to the overall success of the Global Operations Analytics department ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team’s business strategies and objectives.

Responsible for supporting the end-to-end development and reporting lifecycle.

This includes sourcing the requisite data, delivering sound data solutions to enable reporting, and supporting the infrastructure/product portfolio.

Ensures all activities conducted follow governing regulations, internal policies, and procedures.

What your role will be: Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

Designs and maintains scalable data architecture in SQL Server (on-premise and Private Cloud) to support periodical integration, transformation, validation and analysis of financial/operational data from diverse sources.

Ensures data architecture is maintained consistently with data management principles and continuously evolves in alignment with the strategic technology and governance standards.

Work in an Agile environment, be quick to adapt and understand dynamic business requirements, and be able to work with tight timelines.

Proactively supports data-based decision making across operational functions by identifying analytical prospects in operational/financial data.

Identify opportunities to automate business tasks that are manual/repetitive in nature and d rives continuous improvement to key processes.

Continuously cycles through the review and application of techniques, tools, and/or utilities to promote working standards and maintain high-quality solutions.

Employs effective iterative development practices.

Executes all development phases supporting the end-to-end delivery of data solutions.

Proficiently performs activities which include data profiling, acquisition, modeling, cleansing & conforming, augmentation with reference data, aggregation, and visualization; setting a solid foundation for on-line interactive dashboards and ad hoc reporting.

Maintains availability, reliability, and integrity of data products by developing and/or configuring appropriate information controls.

Builds strong relationships with enterprise architecture, infrastructure and technology teams to ensure that performance commitments to support business partners are fulfilled.

Executes data mining techniques to provide fact-based analysis to support data initiatives and improve business processes.

Leverage agility and creativity to maximize value added by data analysis.

Proactively recommend and execute strategies to improve methodology, operational efficiency & effectiveness, and quality of deliverables.

Continually identify, propose and assist in the integration and adoption of new technologies and methodologies as appropriate.

Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

Skills you already have: University degree in engineering, computer science, mathematics or related fields 4 years of practical experience in business intelligence and data analytics is required Advanced knowledge of database design, data mining, profiling and modelling techniques.

Solid experience with SQL Server, PEGA systems, developing Reporting Services (SSRS), building cubes using Analysis Services (SSAS), Dimensional/Relational modelling, and ETL Experience integrating with Hadoop and working with Big Data technologies; Microsoft Visual Studio & Team Foundation Server Basic knowledge of Power BI and DAX coding Experience with Python data libraries is an asset Good communication skills are an asset Familiarity of Commercial Banking products, services, policies and procedures, banking regulations and related regulatory requirements is an asset Location: 90 Wynford Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas.

Guided by our purpose: ”for every future”, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.

If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.

If you require technical assistance, please click here .

Candidates must apply directly online to be considered for this role.

We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.