Senior Data Engineer, AL & ML

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

Job summary

Scotiabank seeks a Senior Data Engineer to lead the development of cutting-edge data infrastructure for AI/ML applications. The successful candidate will architect scalable data solutions while helping to maintain a commitment to diversity, inclusion, and accessibility in a collaborative environment. If you are passionate about data engineering and its applications in finance, this is your opportunity to make a significant impact.

Benefits

Diversity and inclusion programs

Online courses and tuition assistance

Competitive rewards program

Flexible vacation and personal days

Workplace accommodations

Qualifications

• 7+ years in data pipelines and real-time systems.
• Strong skills in data modeling and warehouse integrations.
• Proficient in cloud platforms and observability.

Responsibilities

• Architect scalable batch and streaming data pipelines.
• Design analytical data models for ML workflows.
• Collaborate with AI/ML teams for data serving.

Skills

Data modeling

Cloud deployment

Data quality

Architectural skills

AI/ML collaboration

Observability

Education

Bachelor's in Computer Science or a related field

Job description

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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 with a proven track record in designing and delivering cloud-native data products for advanced AI/ML systems. In this role, you will lead the development of scalable data infrastructure to support Retrieval-Augmented Generation (RAG), agentic systems, and other cutting-edge AI applications.

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 employee 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.
  
  

ScotiaTechnology

DataEngineer

AI&ML

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 (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Banking

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