Data Engineer II
Layer 6 AI
Work Location:
Toronto, Ontario, CanadaHours:
37.5Line of Business:
Technology SolutionsPay Details:
$81,600 - $115,200 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Job Description:
The ideal candidate for this Data Engineer role will design, build, and maintain complex data pipelines, models, and ETL frameworks that support large‑scale, enterprise data platforms. This role leads technical design and architecture discussions, translates complex business requirements into robust data solutions, and ensures data quality, governance, security, and compliance standards are met. The position provides technical leadership by mentoring team members, supporting CI/CD deployments, and partnering with business, architecture, and infrastructure teams to deliver reliable, production‑ready data solutions.
CUSTOMER
- Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products
- Maintain expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
- Support the acquisition and ingestion of data
- Elicit, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata
- Develop and maintain complex data models and ETL jobs and frameworks using the Bank's standard tools
- Provide support to the development and testing teams to resolve data issues, including escalation support on complex issues
- Support partners and stakeholders in interpreting and analyzing data
- Build effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables
SHAREHOLDER
- Coordinate with technology work teams to ensure overall delivery success
- Support the QA team with data analysis/investigations of complex issues/ test cases as part of SIT testing
- Provide oversight on post implementation activities during the warranty period
- Execute & approve code check-in/ check-out into source code repository as part of source code management
- Lead the code version control by tracking branches and lead packaging and deployment (CI & CD) into higher environments
- Raise service-now requests and work with the change management team to support release management activities
- Lead data engineering initiatives and capabilities, data governance principles and how they apply across the organization
- Adhere & contribute towards standard security coding practices to ensure application is free of most common coding vulnerabilities
- Keep current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques
- Enable team members by sharing knowledge and leveraging engineering best practices.
EMPLOYEE / TEAM
- Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
- Provide thought leadership and/ or industry knowledge for Data engineering best practices and participate in knowledge transfer within the team and business unit by providing guidance and proactively identifying and resolving issues
- Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices.
- Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
BREADTH & DEPTH
- Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Azure architecture or Infrastructure knowledge
- Performs complex technical tasks independently
- Deep complex SQL, Data modeling and ETL knowledge with hands on project experience.
- Experience working in Azure environment with knowledge of Azure services; Azure data factory, Azure data bricks and Azure Synapse.
- Advanced analytical and problem-solving skills and fluent in one or two programming languages; preferably pyspark/python.
- Familiar with visualization tools such as Tableau/PowerBI
- Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes
EXPERIENCE AND / OR EDUCATION
- Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
- 5+ years of relevant experience
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more
Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
Language Requirement (Quebec only):
Sans Objet