Associate Data Engineer

The Associate Data Engineer designs, builds, and maintains data solutions (e.g., data infrastructure, pipelines) for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately You will also drive design and implementation of specific data models, promotes effective use of data querying APIs, deploys machine learning models, and ensures consistent data flow through the organization.

Position Responsibilities:

• Designs, builds, and maintains reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis.
• Implements data orchestration pipelines, data sourcing, cleansing, augmentation, and quality control processes.
• Works with business and technology collaborators to grasp current and future data infrastructure needs.
• Designs, builds and maintains scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow; including those specifically tailored for machine learning workflows.
• Builds, implements, and upholds current and upcoming data platforms such as data warehouses, repositories for structured and unstructured data.
• Collaborates with Data Scientists and Engineers to create features and pre-process data for ML models and move data analysis models into production.
• Designs and develops analytical tools, algorithms, data landscape modernization roadmaps, and programs to support Data Engineering activities like writing scripts and automating tasks.
• Applies a variety of data interchange formats to ensure data requirements are met and continuously monitors data integrity across the organization.
• Integrates machine learning algorithms into current production systems and workflows, taking into account compatibility with other systems, data sources, and APIs.
• Builds and advocates for efficient utilization of data querying APIs to ensure seamless access to organizational data sources.
• Evaluates, integrates, and manages tools and frameworks within the data engineering ecosystem, ensuring compatibility and efficiency in model development and deployment.
• Designs and promotes data versioning and lineage tracking, including transparency and traceability for data used in ML model training and inference.

Required Qualifications:

• Knowledge of database systems, data lakes, and NoSQL databases
• Knowledge of data warehouse concepts and architectures (e.g., Synapse)
• Familiarity with data quality and data modelling tools
• Proficiency in using version control systems like Git for managing codebase
• Experience with Cloud native data services such as PySpark, Scala, Azure Data Factory and Databricks
• Practical experience with big data processing frameworks and techniques such as HDFS, MapReduce, Storage formats (Avro, Parquet), Stream processing
• Experience with integrating to back-end/legacy environments
• Knowledge of AI model deployment in production environments
• Experience handing real-time data for AI Applications
• Ability to build and deploy Data Ops. And ML Ops. Pipelines in Cloud-native environments

When you join our team:

• We'll empower you to learn and grow the career you want.
• We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As a member of our distributed team, we'll assist you in crafting the future you envision.

#LI-Hybrid

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact

Referenced Salary Location

Working Arrangement

Salary range is expected to be between

If you are applying for this role outside of the primary location, please contact for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions.