Senior MLOps Engineer, AI Experience

Scotiabank; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Senior Data Engineer skilled in AI. You will design data pipelines, manage data platforms, and collaborate with AI/ML teams. The ideal candidate has strong leadership in data engineering and experience with Spring and Python. This role offers a competitive rewards program and an inclusive work environment.

Benefits

Competitive Rewards program

Flexible vacation

Online courses and development opportunities

Diversity and inclusion initiatives

Workplace accommodations

Qualifications

• Proven leadership in designing data pipelines and real-time systems.
• Strong architectural skills in data modeling and warehouse integrations.
• Experience driving adoption of IaC and CI/CD best practices.
• Expertise in data quality, lineage, and cataloging.
• Knowledge of privacy regulations (GDPR, PIPEDA).
• Ability to partner with AI/ML teams for RAG and agentic systems.
• Proficiency in platform observability and cloud deployments.
• Strategic thinking in governance frameworks and data architecture.
• Mentorship and thought leadership experience.

Responsibilities

• Architect and implement scalable batch and streaming pipelines for data.
• Design and maintain dimensional and analytical data models for ML workflows.
• Lead ELT orchestration using Airflow and DBT.
• Integrate and manage data across BigQuery, Delta Lake, and Databricks.
• Collaborate with AI/ML teams to monitor datasets for fine-tuning.
• Optimize feature pipelines for RAG-based and agentic AI systems.
• Champion CI/CD and monitoring practices for data infrastructure.
• Ensure secure and compliant data platforms across Azure and GCP.

Job description

Requisition ID: 227526

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Join Scotiabank's purpose-driven, high-performing team where innovation meets impact. We are looking for a Senior Data Engineer, AI Experience with a proven track record of Spring and Python who have worked with agentic AI and data engineering and have deployed cloud-native applications in production.

Key Responsibilities

• Architect and implement scalable batch and streaming pipelines for structured and unstructured data.
• Design and maintain dimensional and analytical data models to support ML workflows, including LLM training and inference.
• Lead ELT orchestration using Airflow and DBT for complex AI/ML pipelines.
• Integrate and manage data across BigQuery, Delta Lake, and Databricks environments.
• Collaborate with AI/ML teams to version, serve, and monitor datasets for fine-tuning and inference.
• Build and optimize feature pipelines and data services for RAG-based and agentic AI systems.
• Champion CI/CD, observability, and monitoring best practices for data infrastructure.
• Ensure secure, compliant, and scalable data platforms across Azure and GCP.

Qualifications

• 7+ years of proven leadership in designing data pipelines and real-time systems.
• Strong architectural skills in data modeling and warehouse integrations.
• Experience driving adoption of IaC and CI/CD best practices.
• Expertise in data quality, lineage, and cataloging.
• Knowledge of privacy regulations (GDPR, PIPEDA).
• Ability to partner with AI/ML teams for RAG and agentic systems.
• Proficiency in platform observability and cloud deployments.
• Strategic thinking in governance frameworks and data architecture.
• Mentorship and thought leadership experience.

What\'s in it for you?

• Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
• Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
• Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
• Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
• Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation during the recruitment and selection process, please let our Recruitment team know. For technical assistance, please contact the Recruitment team. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.