Data Engineer at Manulife

, Newfoundland and Labrador, Canada -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

140920.0

Posted On

30 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Automation, Data Privacy, Compliance Regulations, Azure Services, Data Warehousing, Relational Data Modelling, Python, PySpark, T-SQL, ETL Processes, Azure Data Factory, Azure Databricks, GIT, Jenkins, DevOps

Industry

Insurance

Description

This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence. Position Responsibilities: Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources. Automate infrastructure provisioning and deployment using tools such as Terraform. Demonstrate a solid understanding of data privacy and compliance regulations and best-practices. Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies. Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes. Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure. Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective. Required Qualifications: 3 to 4 years of relevant industry experience as Data Engineer. Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem. Experience in automating data pipelines and familiarity with DevOps and CICD pipelines. Good knowledge of data warehousing concepts and relational data modelling. Strong hands-on knowledge of Python, PySpark, and T-SQL along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks. Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production. 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 part of our global team, we’ll support you in shaping the future you want to see. 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 https://www.manulife.com/en/about/our-story.html. 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 recruitment@manulife.com. Referenced Salary Location Toronto, Ontario Working Arrangement Hybrid Salary range is expected to be between $75,880.00 CAD - $140,920.00 CAD If you are applying for this role outside of the primary location, please contact recruitment@manulife.com 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 recruitment@manulife.com for more information about U.S.-specific paid time off provisions.

Responsibilities

The Data Engineer will design, develop, and manage data pipelines to facilitate data extraction, transformation, and loading from diverse sources. This role is crucial for automating infrastructure and improving operational efficiency within the organization.