Join Our Winning Team as a Senior Data Engineer - Azure

We are a leading financial services provider committed to making decisions easier and enhancing the lives of our customers and colleagues around the world. As part of our commitment to corporate responsibility and sustainability, we actively lead environmental initiatives and invest in our communities. We believe in lifting each other up—when our team thrives, we all do. Explore opportunities to grow your career, make an impact, and drive real change with us.

Hybrid Working Arrangement

The Opportunity

We are looking to bring a Senior Data Engineer with Azure expertise into our innovative team. This role involves collaboration with Architects, Engineers, and Business Partners to design and optimize solutions for our Global Wealth and Asset Management ecosystem.

Responsibilities

The successful candidate will provide hands-on leadership and technical guidance in developing both batch and real-time data pipelines in Microsoft Azure. You will lead our agile software development processes and work closely with cross-functional teams to implement modern data solutions. Your role is crucial in translating business requirements into scalable technical solutions and mentoring team members to enhance their skills.

Who You Are

• You put customers first and are dedicated to meeting their needs.
• You think big and use your curiosity to drive business outcomes.
• You thrive in collaborative environments and enjoy working as part of a team.
• You are proactive in building solutions and take ownership of your work.
• You hold integrity in high regard and consistently do what is right.
• You appreciate diversity and strive to create inclusive work environments.

Required Skills and Experience

• Minimum 5 years of experience in data engineering, preferably with a strong focus on Azure technologies like Azure Databricks, Azure Data Lake, and Azure Synapse Analytics.
• Expertise in building and automating ETL processes using Azure Data Factory and PySpark.
• Experience designing data solutions for advanced analytics and data science using Azure ML.
• Familiarity with the Hadoop ecosystem and tools such as Spark, Hive, and Oozie.

What We Offer

A competitive salary ranging from $92,190.00 CAD to $171,210.00 CAD in Toronto, Ontario. Our benefits package includes health, dental, vision insurance, and more. You'll have opportunities for professional development, leadership, and a path to grow your career with us.

About Manulife

Manulife Financial Corporation is renowned globally, operating in Asia, Canada, Europe, and the United States through our John Hancock brand. We manage over $1.3 trillion in assets, serving millions of customers worldwide. Our commitment extends beyond financial services as we strive to foster a diverse, inclusive, and sustainable environment.

Manulife is an Equal Opportunity Employer, dedicated to creating a diverse and inclusive work environment and upholding equitable practices.

Apply Now!

If you're excited about shaping the future of data engineering with a global leader and want to make a significant impact, we want to hear from you! Submit your application today and join our vibrant team driving innovation at Manulife.