QTG - Digital Investing Engineering - Principal DataEngineer

5700 Yonge St, North York, ON M2N 5M9,

Canada

Job Description Posted Friday, April

17, 2026 at 4 : 00 AM

Questrade Financial Group

QFG), through its companies – Questrade, Questbank, Questrade

Wealth Management, Community Trust Company, Zolo, and Flexiti,

provides securities and foreign currency investment, professionally

managed investment portfolios, mortgages, real estate services,

financial services and more. We use cutting‑edge technology to help

Canadians become much more financially successful and

secure.

At QFG, we combine human‑centric

collaboration with AI‑driven innovation to redefine financial

services. The ideal candidate will be a catalyst for change, using

AI to transform and deliver unparalleled customer experiences and

shaping a future where AI empowers our teams to do their best

work.

Join our diverse, inclusive, and hybrid

workplace to unleash your creativity and nurture your curiosity

without limits. If you share this sense of infinite possibility,

come shape your future at QFG.

What’s in it

for you as an employee of QFG?

Health &

wellbeing resources and programs

Paid

vacation, personal, and sick days for work‑life

balance

Competitive compensation and benefits

packages

Work‑life balance in a hybrid

environment with at least 3 days in

office

Career growth and development

opportunities

Opportunities to contribute to

community causes

Work with diverse team

members in an inclusive and collaborative

environment

This job posting is for an

existing vacancy

We’re looking for our next

Principal Data Engineer. Could It Be You? The ideal Principal Data

Engineer will be an experienced professional ready to work in an

agile environment. This role requires in‑depth knowledge and

understanding of data ingestion, orchestration, compute,

automation, and modeling, particularly within the high‑velocity

domain of brokerage technology and Digital Investing

Engineering.

Design, develop, and maintain

robust, scalable, and high‑performance brokerage data pipelines and

ETL / ELT processes, ensuring data quality, integrity, and timely

availability for consumption.

Spearhead the

creation of innovative data products and cross‑domain data assets

that align with QuestEnterprise’s top‑line OKRs, specifically

supporting the high‑velocity demands of Digital Investing

Engineering.

Act as a technical leader and

subject matter expert on data architecture, modeling, and best

practices, driving the modernization of data infrastructure to

leverage cutting‑edge cloud technologies

GCP / Databricks).

Drive end‑to‑end automation

of data workflows, monitoring, alerting, and deployment processes

to enhance operational efficiency and

reliability.

Enable and operationalize AI

tooling and machine learning pipelines in close collaboration with

Data Science and ML Ops teams, translating complex models into

production‑ready data flows.

Provide expert

data consultation and enablement for self‑servicing capabilities,

empowering business analysts and stakeholders with tools (e.g.,

PowerBI, Looker) to access and derive insights

independently.

Serve as the primary liaison

between business stakeholders, software engineering, data

science / ML Ops, and Enterprise data / AI enablement teams,

translating business needs into technical data

solutions.

Support audits and operational due

diligence by ensuring comprehensive data lineage, governance,

security, and compliance across all data products and

infrastructure.

Mentor and coach junior and

intermediate data engineers, fostering a culture of engineering

excellence, continuous learning, and technical innovation within

the team.

So are YOU our next Principal Data

Engineer? You are if you…

8+ years of

progressive experience in the data engineering

field.

Expert‑level proficiency with GCP data

engineering services including BigQuery, Dataflow, Airflow (or

Cloud Composer), Pub / Sub, Data Catalog, and CloudSQL, or equivalent

expertise with Databricks.

Demonstrated

experience with Relational Data Stores such as MSSQL or

MySQL.

Strong knowledge of SQL and

Python.

Experience in data modeling for both

On‑Premises and Cloud consumption, including expertise in technical

architecture, infrastructure, and robust ETL / ELT pipeline

development, with a focus on data ingestion, orchestration, and

compute optimization.

Technical Leadership and

AI / BI Specialization

Spearhead the

implementation of self‑service Business Intelligence (BI)

solutions, leveraging tools such as PowerBI and Looker, or advanced

technologies like conversational AI

agents.

Practical experience and awareness of

leveraging generative AI developer tools (e.g., Claude, Cursor,

Github Copilot) to significantly boost coding efficiency,

accelerate development, and enhance data pipeline

quality.

Act as a technical leader to enable

the adoption of new technologies both within the immediate team and

across the broader organizat