Lead AI/Data Engineer building production AI agents, data pipelines, and analytics infrastructure. Powering Dutch’s veterinary telemedicine platform for pet parents and veterinarians.
About the role
- Senior Data Engineer building Azure pipelines, data platforms, and ML workflows for Manulife’s retirement operations. Supporting trusted analytics across North American teams.
Responsibilities
- Partner with business and technology teams to translate data needs into scalable solutions
- Design, build, test, and monitor cloud-based data pipelines and models
- Troubleshoot data quality and production issues
- Optimize platform performance and reliability
- Review code and promote engineering standards
- Support analytics, reporting, and machine learning use cases with trusted, well-governed data
- Collaborate with data engineering colleagues to deliver secure, reliable, and efficient solutions
- Build and maintain data infrastructure for collection, storage, transformation, and analysis
- Implement data orchestration, data sourcing, cleansing, augmentation, and quality-control processes
- Design and maintain data warehouses, data lakes, and data lakehouses
- Create features and preprocess data for machine learning models and move models into production
- Develop analytical tools, algorithms, modernization roadmaps, scripts, and automation
- Monitor data integrity and use data interchange formats
- Deploy machine learning models within production systems and workflows
- Design and promote data-querying APIs
- Evaluate, integrate, and manage data engineering tools and frameworks
- Establish data versioning and lineage tracking for ML training and inference data
- Lead projects or workstreams independently and contribute to planning
- Act as a professional information resource for data engineering solutions to business problems
Requirements
- 4 or more years of experience as a data engineer or data scientist with proficiency in big data engineering
- Ability to collaborate effectively in a large highly matrixed organization with many different data teams
- Expert in SQL and PySpark
- Knowledge of database systems, data lakes, and NoSQL databases
- Knowledge of data warehouse concepts and architectures and working with Parquet files
- Proficiency in job orchestration tools like Roadrunner
- Familiarity with data quality and data modelling tools
- Proficiency with version control systems like Git
- Experience with Azure cloud environment, especially Azure Data Factory, ADLS, and Databricks
- Experience integrating with back-end/legacy environments
- Experience working on Agile teams using Scrum and Kanban
- Experience with Call Centre analytics and operations
- Experience with vector databases and AI engineering
- Bilingualism in English and French is an asset; if the successful candidate is in Québec, proficiency in both languages is required
- Familiarity with Tabular Editor and Roadrunner
- Knowledge of Manulife and John Hancock Retirement products systems and operations
Benefits
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short- and long-term disability insurance
- Life and AD&D insurance coverage
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans, including 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
- Hybrid working arrangement
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