Data Engineer building Azure ETL/ELT pipelines and governed data architecture for Manulife’s financial services business. Supporting scalable analytics, automation, and operational excellence.
About the role
- 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.
Responsibilities
- 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
- 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
- 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
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