Data Engineer

Manulife

Data Engineer building Azure ETL/ELT pipelines and governed data architecture for Manulife, an international financial services provider. Improving data integration, automation, and platform efficiency.

Posted 8/29/2026full-timeWaterloo • 🇨🇦 CanadaMid-LevelSenior💰 CA$86,100 - CA$136,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks, while ensuring data quality, governance, and compliance. Proficient in data architecture, automation, and collaboration with cross-functional teams to deliver effective data solutions.

Highest-signal resume keywords

Azure Data FactoryAzure DatabricksData Governance SolutionsPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentData ArchitectureData ModelingData Quality AssuranceAutomation of Data PipelinesPerformance TuningRelational Data ModelingData Warehousing ConceptsAgile Scrum MethodologiesCapacity Planning

Soft Skills

Excellent CommunicationAnalytical Problem-SolvingInterpersonal SkillsOpenness to ChangeContinuous Improvement

Tools & Technologies

Microsoft Azure ServicesSQL ServerADLS Gen2Databricks Unity CatalogSynapse

Industry Keywords

Data EngineeringData EcosystemsData ProcessingDevOpsCI/CD Pipelines

Tech Stack

Tools & technologies

AzureCloudETLJavaPythonScalaSQLUnity

About the role

Key responsibilities & impact

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
Develop and maintain data architecture, including data models, schemas, and data dictionaries
Integrate data from various sources and ensure data quality and consistency
Prepare data for analytical and operational use
Follow data governance policies and processes to ensure data security, privacy, and compliance
Collaborate with data scientists, analysts, and business team members to understand requirements and develop solutions
Stay current with tools and technologies and identify opportunities to enhance data infrastructure
Learn and implement big data and cloud computing best practices to deliver scalable, efficient, and effective solutions
Develop and maintain automation to streamline operations and improve efficiency

Requirements

What you’ll need

4 or more years of relevant industry experience as a Data Engineer
Experience building and operationalizing data pipelines in Microsoft Azure using Azure Data Factory and Azure Databricks
Experience implementing and supporting data governance solutions using Databricks Unity Catalog, including metadata management, data lineage, auditing, fine-grained access controls, data discovery, and secure data sharing
Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines
Strong knowledge of Microsoft Azure services, including SQL, ADLS Gen2, ADF, Databricks, Synapse, and SQL Server
Experience designing scalable data ecosystems
Strong understanding of data warehousing concepts and relational data modeling
Experience with Python, SQL, Java, and/or Scala
Understanding of Agile Scrum methodologies and experience working within Agile teams
Experience in data processing, performance tuning, monitoring, and capacity planning
Familiarity with production release and operational support models
Excellent communication and interpersonal skills
Excellent analytical, problem-solving, and solutioning skills
Capacity for constant learning, openness to change, and continuous improvement

Benefits

Comp & perks

Flexible environment supporting well-being and inclusion
Health insurance
Dental insurance
Mental health benefits
Vision insurance
Short- and long-term disability insurance
Life and AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Paid holidays, vacation, personal, and sick days
Statutory leaves of absence
Incentive programs and incentive compensation tied to business and individual performance