The Data Engineering Lead is a hands-on technical expert who builds scalable data platforms, data pipelines, automated tools, and reusable data products that expand the organization’s Data & AI capabilities.

This role also partners closely with Sales, Marketing, Product, and other business stakeholders to translate opportunities into clear data solutions and to ensure what we build drives measurable business impact and growth.

Position Responsibilities:

Build scalable data platforms, products, and automation

- Design and build scalable data pipelines, automated data tools, and reusable data products on modern cloud platforms such as Azure Databricks to accelerate AI and analytics value delivery.
- Automate, modernize, and improve data pipelines and engineering processes to increase efficiency, reliability, and scalability.
- Deliver projects across data ingestion, engineering, visualization, and decision-making.

Own the data domain and strengthen engineering quality

- Serve as a data-domain subject matter expert and trusted technical advisor.
- Build a strong understanding of systems and the data environment by researching, exploring, and testing new data architecture, design ideas, and technologies.
- Collaborate with internal and external experts to improve data quality, platform reliability, access, and usability.
- Use technical documentation to develop a holistic understanding of the data domain.

Enable analytics through strong data foundations and business context

- Work with data scientists to turn business requests into high-value data products and capabilities.
- Partner with business teams and data scientists to build, improve, and deliver trusted, analysis-ready data.
- Help develop conceptual/logical data models, curated data layers, or semantic layers with clear business context.

Partner with the business (Sales/Marketing/Product) and communicate clearly

- Work with Sales, Marketing, Product, and other teams to understand needs and identify where data and analytics can support growth.
- Turn business insights into clear technical requirements focused on measurable impact.
- Explain technical ideas in plain language and confidently present solutions to non-technical audiences.
- Act as a connector between technical and business teams to keep goals, requirements, and delivery aligned.

Grow data and analytics capability across the organization

- Help business partners understand and use data and automation effectively.
- Identify and develop “data champions” to increase profitable use of data.
- Learn key business concepts from partners and enable creative, effective use of data technologies.

Required Qualifications:

- Bachelor’s degree (or higher)



in computer science or quantitative field (e.g., Mathematics, Physics, Engineering).
- Advanced experience with databases, data architecture, and modern data engineering practices.
- Strong programming skills in Python, SQL, Spark.
- Experience building automated data pipelines, orchestration workflows, and data transformation solutions, ideally in Azure Databricks or similar cloud data platforms.
- Experience with cloud data technologies—especially Azure, including Azure Databricks—and Data as a Service (DaaS).
- Experience delivering analysis that supports management decisions; solid understanding of analytics theory and application.
- Experience with analytics and visualization tools (e.g. PowerBI) is a plus.

Preferred Qualifications:

- Ability to collaborate with Sales, Marketing, and other customer-facing stakeholders.
- Be able to capture business pain points, showcase prototypes and iterate on solutions
- Strong communication and storytelling skills; able to simplify complex concepts.
- Comfortable facilitating sessions, presenting to groups, and engaging partners.
- Consultative mindset with the ability to link technical work to business outcomes.

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.

#LI-Hybrid

The role being advertised is an existing vacancy.

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、

マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。

Referenced Salary Location

Toronto, Ontario

Working Arrangement

ハイブリッド勤務

Salary range is expected to be between

$113,260.00 CAD - $210,340.00 CAD

Employees also have the prospect to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact for the salary range for your location.

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.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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📌 Lead Data Engineer (Director Level) (Toronto)
🏢 Manulife Financial
📍 Toronto