{"id":4038785,"url":"https://alion.io/job/scotiabank-data-engineer-2","title":"Data Engineer","company":{"id":1754303,"name":"Scotiabank","domain":"scotiabank.com","url":"https://alion.io/company/scotiabank-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":47,"ghost_share":0,"stale_share":0.043,"repost_share":0.085,"time_to_fill_p50_days":17,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache NiFi","optional":false},{"name":"Azure","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-11-10T21:32:31Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T21:32:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Requisition ID: 277426\nJoin a purpose driven winning team, committed to results, in an inclusive and high-performing culture.\nThe Role\nContributes to the overall success of GFT and Finance Data Platform (FRDP) by designing, building, and owning scalable and reliable data pipelines. Ensures delivery of high-quality data solutions aligned to enterprise standards while supporting regulatory, audit, and operational requirements.\nWhat will we expect from you?\n1. End-to-End Data Pipeline Ownership\nDesign, develop, and own ingestion, transformation, and publishing pipelines across FRDP\nBuild scalable data workflows across structured, semi-structured, and unstructured datasets\nEnsure pipelines are optimized for performance, scalability, and reliability.\n2. Data Modeling & Engineering Design\nDesign data models aligned with business and analytical requirements\nDevelop transformation logic using SQL and distributed processing frameworks such as Spark\n3. Data Quality, Governance & Compliance\nImplement and enforce data quality frameworks and validation rules\nEnsure compliance with data governance, lineage, audit, and regulatory requirements (e.g., RDARR, SOX)\nParticipate in defining data standards and best practices.\n4. Production Reliability & Operational Excellence\nOwn production pipelines and ensure SLA adherence\nLead root-cause analysis and resolve production incidents\nEnhance observability, monitoring, and alerting across pipelines\n5. Cross-Team Integration & Delivery\nCollaborate with upstream and downstream teams to integrate data systems\nTranslate business requirements into scalable technical solutions\nSupport onboarding of complex data sources and consumers.\n6. Continuous Improvement & Engineering Practices\nDrive improvements in pipeline efficiency, maintainability, and reuse\nContribute to standardization of frameworks and development practices\nMentor junior engineers (Level 6)\nWhat You Will Bring to Succeed\n3-5 years of experience in data engineering\nStrong expertise in SQL, data modeling, and data pipeline development\nExperience working in enterprise-scale data platforms and in Cloud (Google/Azure)\nProven experience owning production data pipelines\nTechnical Skills\nData Processing: Advanced SQL, Python, Spark\nIngestion: NiFi (design and optimization)\nStorage: Object Storage (partitioning, performance optimization), RDBMS\nQuery Engine: Trino (query optimization, federation)\nOrchestration: Autosys/Cloud Composer\nData Quality: Implementation of DQ frameworks\nVisualization: Power BI\nThe Workplace\nWe are technology partners who help the business transform how our employees around the world work\nWe have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!\nYou'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world\nWe foster an environment of innovation and continuous learning\nWe care about our people, allowing them to design how they work to deliver amazing results\nWe offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation\nLocation(s): Canada : Ontario : Toronto\nScotiabank 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.\nAt 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. 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