Architect, design, implement, enhance and maintain highly scalable, secure and elastic cloud-ready data solutions using cutting-edge technologies to support our predictive and prescriptive analytics needs. Be an expert in our data domains, act as a trusted partner and advisor to solutions architects and data scientists and become a crucial part of the analytics solution lifecycle – from prototype to production and operations of our data science and advanced analytics solutions in areas such as promotions, supply and demand planning, item/menu level analytics, supply chain simulations, and optimization, competitive benchmarking, and root cause analysis. Continuously improve and advance our data solutions.Hybrid role based at 303-1 Concorde Gate North York, ON, M3C 3N6, Canada. Candidates must reside in the Toronto metropolitan area. Relocation assistance is not offered at this time.ResponsibilitiesResponsible for working with the data management, data science, decision science, and technology teams to address supply chain data needs in demand and supply planning, replenishment, pricing, and optimizationDevelop and refine the data requirements, design and develop data deliverables, and optimize data pipelines in non-production and production environmentsDesign, build, and manage/monitor data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management. The ability to work with both IT and businessIntegrate analytics and data science output into business processes and workflowsBuild and optimize data pipelines, pipeline architectures, and integrated datasets. These should include ETL/ELT, data replication/CI-CD, API design,



and accessWork with and optimize existing ETL processes and data integration and preparation flows and help move them to productionWork with popular data discovery, analytics, and BI and AI tools in semantic-layer data discoveryAdept in agile methodologies and capable of applying DevOps and DataOps principles to data pipelines to improve communication, integration, reuse, and automation of data flows between data managers and data consumers across the organizationImplement Agentic AI capability to drive efficiency and opportunityQualificationsBachelor’s degree in computer science, data management, information systems, information science or a related field; advanced degree in computer science, data management, information systems, information science or a related field preferred.3+ years in data engineering building production data pipelines (batch and/or streaming) with Spark on cloud.2+ years hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake) including:Delta Lake operations (MERGE/CDC, OPTIMIZE/Z-ORDER, VACUUM, partitioning, schema evolution).Unity Catalog (RBAC, permissions, lineage, data masking/row-level access).Databricks Jobs/Workflows or Delta Live Tables.Azure Data Factory for orchestration (pipelines, triggers, parameterization, IRs) and integration with ADLS Gen2, Key Vault.Strong SQL across large datasets; performance tuning (joins, partitions, file sizing).Data quality at scale (e.G., Great Expectations/Deequ), monitoring and alerting; debug/backfill playbooks.DevOps for data: Git branching, code reviews, unit/integration testing (pytest/dbx),



CI/CD (Azure DevOps/GitHub Actions).Infrastructure as Code (Terraform or Bicep) for Databricks workspaces, cluster policies, ADF, storage.Observability & cost control: Azure Monitor/Log Analytics; cluster sizing, autoscaling, Photon; cost/perf trade-offs.Proven experience collaborating with cross-functional stakeholders (analytics, data governance, product, security) to ship and support data products.Dimensions & StakeholdersContent scope: Data engineering, data modeling, Agentic AI and automation, and data solution operationalizationGeographical Scope: GlobalStakeholders & Networks: Analytics and Insights, DevOps, Product Management, TechnologyWorking model: Individual contributor, collaborates with cross-functional team within global planning and analyticsSalary and BenefitsStarting Salary is $95,000-$110,000 with a 5% targeted bonusInclusive employee resource groupsGenerous extended healthcare benefits and other great benefitsPaid parental and medical leave programsRRSP and DPSP benefits with a company match component and profit sharing15 days of paid time off plus company holidaysHybrid work model with flexibilityTuition reimbursementEQUAL PROSPECT EMPLOYERWe are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.#J-18808-Ljbffr

📌 Data Engineer - C$95,000 - C$110,000 A Year (Winnipeg)
🏢 HAVI Logistics
📍 Winnipeg