Data Engineer Job Description Contributes to the overall success of data assets and models serving international banking analytics. This specialist will be responsible for using established templates for collecting, managing, and converting raw data into information via data pipelines and databases to be consumed by business intelligence and advanced analytics applications. Main Responsibilities - Champions a customer-focused culture to deepen client relationships and leverage broader bank relationships, systems, and knowledge. - Participates in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions. - Collaborates with the data engineering community; supporting training and onboarding of new users, and supports the implementation of data assets across international teams. - Hands-on development supporting data integration, analytics, and environments, to generate scalable data assets across Scotiabank international markets. - Functions as a member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns. - Collaborates and supports analytic teams to proactively build and improve existing operating models, increasing reliability and stability of data platforms for end users in accordance with established engineering practices and automation. - Contributes to data delivery for highly visible and critical projects across the bank. - Knowledge of Spark, SQL, Docker, Airflow, Git, Kubernetes, infrastructure-as-code is required. - Works in collaboration with BI teams, with proficiency in PowerBI and setting up data pipelines to PowerBI. - Understands how the bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.