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. 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 solid 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.

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. 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. Ability to collaborate with Sales, Marketing,



and other customer‑facing stakeholders. Consultative mindset with the ability to link technical work to business outcomes.

We’ll recognize and support you in a flexible setting where well‑being and inclusion are more than just words. ~ Le poste annoncé correspond à une vacance existante. 113,260.00 CAD - $210,340.00 CAD Les employés ont également la possibilité de participer à des programmes incitatifs et de recevoir une rémunération liée à la performance de l’entreprise et des individus. Le salaire réel variera selon les conditions du marché local, la région géographique et les facteurs propres au poste, tels que les connaissances, les compétences, les qualifications, l’expérience et la formation. Manuvie offre aux employés admissibles une vaste gamme d’avantages sociaux personnalisables, notamment une assurance soins médicaux, soins dentaires, santé mentale, soins de la vue, invalidité de courte et de longue durée, assurance vie et assurance DMA, assurance adoption, de maternité de substitution et de soins médicaux non urgents ainsi que des programmes d’aide aux employés et leur famille.

Nous proposons également aux employés admissibles différents régimes d’épargne‑retraite (y compris des régimes de rente et un programme international d’actionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matière d’éducation et de conseils financiers. Nous utilisons des technologies de données et d’analytique, telles que l’intelligence artificielle (IA), ainsi que des outils de traitement automatisé pour analyser et traiter les renseignements que vous nous fournissez ou que des tiers nous transmettent dans le cadre du processus de demande.

📌 Lead data engineer (director level) (Toronto)
🏢 Société Financière Manuvie
📍 Toronto