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Added 5 mins ago
S
Le Responsable de livraison (Delivery Executive)
SAP
Montreal, QC
- Full-time
…business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more…
Added 5 mins ago
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QA Engineer
BluWave-ai
Ottawa, ON
- Full-time
Exposure to smart grid concepts, telemetry data, energy management systems, or EV fleet analytics.
Added 5 mins ago
IG
Sr Financial Analyst / Associate Finance Manager
Insight Global
Vaughan, ON
- $80,000 to $100,000 CAD / year
- Full-time
Exposure to AI productivity/analytics tools such as Microsoft Copilot or Gemini.
Added 5 mins ago
GT
Business Systems Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $50 to $60 CAD / hour
- Contract
Job Number: 26-18102 Industry: Data & Analytics
Added 5 mins ago
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Product Manager
Bevertec
Toronto, ON
- $90 to $95 CAD / hour
- Contract
· Experience using user research, analytics, performance measures, and benefits frameworks to guide decisions.
Added 5 mins ago
AI Enablement Analyst
Dye & Durham Talent Team
Toronto, ON
Added 6 mins ago
I
SAP S4/HANA EAM (PM) Consultant
IBM
Bedford, NS
- $79,800 to $125,400 CAD / year
- Full-time
Exposure to reporting and analytics tools supporting maintenance and warranty operations.
Added 6 mins ago
JG
AI Engineer With Strong python coding - 8 Years
J2B Global LLC
Mississauga, ON
- Full-time
Build AI-powered data analytics and self-service platforms.
Added 6 mins ago
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Senior Python Developer (SAS Migration / Anaconda)
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced Senior Python Developer to join our team and support application modernization and migration initiatives. In this role, you will focus on migrating existing…
Added 6 mins ago
D&
AI Enablement Analyst
Dye & Durham Corporation
Toronto, ON
- $65,000 to $75,000 USD / year
- Full-time
Added 6 mins ago
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Manager, Take to Market - Tangerine
Tangerine
Toronto, ON
- Full-time
Added 6 mins ago
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AI Engineer
VySystems
Mississauga, ON
- Full-time
Build AI-powered data analytics and self-service platforms.
Added 6 mins ago
I
SAP S4/HANA EAM (PM) Consultant
IBM
Calgary, AB
- $79,800 to $125,400 CAD / year
- Full-time
Exposure to reporting and analytics tools supporting maintenance and warranty operations.
Added 21 mins ago
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Finance Contracts Analyst
PointClickCare
Mississauga, ON
- Full-time
Added 21 mins ago
A
Manager, Global Strategic Partnerships
Ataccama
Toronto, ON
- Full-time
…quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with…
Added 21 mins ago
MC
Director, Sales and Business Development
Masco Corporation
Mississauga, ON · St. Thomas, ON · Masco Canada - St. Thomas
- Full-time
Analytics and Systems - Strong analytical and problem-solving skills with proficiency in reports, dashboards, CRM tools, Excel, PowerPoint, Word, and related workflow solutions.
Added 21 mins ago
Revenue Operations Manager
AfterShip
Toronto, ON
Added 35 mins ago
Senior Financial Analyst, AI
Scotiabank
Toronto, ON
Added 35 mins ago
AI Engineer (Data Scientist)
Hydro One Networks Inc
Toronto, ON
With support from change management, manage data analytics training to business to increase understating of data techniques and processes and to ensure adoption of the analytics apps.
Added 35 mins ago
Senior Software Engineer
impact.com
Victoria, BC
Added 36 mins ago
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Marketing Analytics Specialist (GA4 Expert)
Stacktics
Toronto, ON
- Full-time
The Marketing Analytics Specialist will play a key role at Stacktics Inc., where we design, create, deploy, maintain and grow industry-leading Cloud Infrastructure, Big Data Analytics and…
Added 36 mins ago
O
Sales Specialist USA
Olymel
Boucherville, QC
- Full-time
Added 50 mins ago
Technical Coordinator, Parking Services
City of Mississauga
Mississauga, ON
Monitors interfaces, synchronization and data flows between field, enforcement, mobile, back-end and analytics systems.
Added 50 mins ago
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Media Planning Specialist
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
Added 51 mins ago
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Manager, Global Strategic Partnerships
Ataccama
Toronto, ON
- Full-time
…quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with…

AgileGrid Solutions

Senior Data Engineer

Canada

Salary: $70,000–$150,000 per year · Full-time

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Job details

Pay: Salary: $70,000–$150,000 per year
Job type: Full-time
Apply by: Nov 30, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Application Deadline: November 30, 2026

Address: 4100 Gordon Baker Road

Job Family: Technology

Salary: $70,000–$150,000 per year

Pay Type: Salaried

About The Company

BMO Financial Group is driven by a shared purpose: Boldly Grow the Good in business and life. We work to create lasting, positive change for our customers, communities, and employees. Through collaboration, innovation, and a commitment to pushing boundaries, BMO supports businesses, contributes to economic growth, and helps people and organizations reach their goals.

Data and AI Technology (DAT) Engineering supports BMO’s digital-first strategy and its risk, regulatory, and compliance requirements. The team builds data and AI products that deliver timely, actionable insights and help business partners make informed, data-driven decisions. Working across the bank, DAT Engineering contributes to hundreds of initiatives each year, addressing complex challenges and creating business value.

About The Role

Join a diverse engineering organization where you can apply your technical skills to complex business problems and work with evolving data and AI technologies. In this role, you will lead the planning, design, development, testing, implementation, documentation, and support of data and AI products. You will work closely with business stakeholders to understand functional and non-functional needs, translate them into technical solutions, and help ensure those solutions align with established standards and technology roadmaps.

You will also contribute to stronger engineering practices by developing reusable frameworks and automation, improving delivery and deployment processes, and supporting the growth of colleagues through mentoring and knowledge sharing.

Qualifications

You bring five to seven years of relevant experience, supported by IT education, certifications, or equivalent professional expertise. You have hands-on experience in ETL/ELT development and testing, data warehousing, and working with SQL, NoSQL, Python, Spark, and Scala. Your background includes technologies such as SSIS, AWS Glue, cloud storage and computing services in AWS or Azure, Hadoop, and Netezza.

You are comfortable working with structured, semi-structured, and unstructured data in both batch and streaming environments. You have experience in data analysis, data mapping, and data profiling, along with an understanding of AI concepts, generative AI, prompt engineering, retrieval-augmented generation (RAG), and AI-enabled tools in the software development lifecycle. Familiarity with Agile delivery and JIRA is required. Experience in a large enterprise, working with senior leaders, or operating in a highly regulated industry is an asset.

Responsibilities

Lead the end-to-end delivery of data and AI products, from planning and technical design through development, testing, implementation, documentation, and ongoing support. Partner with business stakeholders to clarify requirements and shape reliable, practical solutions. Provide technical direction on designs and confirm alignment with standards, architecture, and roadmaps.

Guide junior and intermediate developers, identify and track defects, and perform regression testing to verify fixes. Find opportunities to improve engineering workflows, delivery practices, and deployment capabilities. Build automation scripts, frameworks, and reusable code to accelerate development and improve consistency. Strengthen team capability through mentoring, knowledge sharing, and communities of practice.

Benefits

BMO offers a total compensation package that may include performance-based incentives, discretionary bonuses, and other rewards, depending on the position and pay type. Benefits include health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. Compensation may vary according to location, skills, experience, education, and qualifications. Part-time compensation is prorated based on regular hours worked. The stated salary range represents BMO Financial Group’s pay range for this salaried position.

BMO supports employee growth through training, coaching, manager support, and opportunities to build professional networks and broaden skills.

Equal Opportunity

BMO Financial Group is committed to an inclusive, equitable, and accessible workplace. We value the perspectives and strengths people bring through their differences. Accommodations are available upon request for candidates participating in any part of the selection process; please contact your recruiter to request support.

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More about this job

Responsibilities

Lead end-to-end delivery of data and AI products, including planning, design, development, testing, implementation, documentation, and ongoing support. Partner with business stakeholders, guide developers, ensure alignment with technical standards, and improve engineering workflows through automation, reusable frameworks, mentoring, and knowledge sharing.

Requirements

Requires five to seven years of relevant experience, supported by IT education, certifications, or equivalent professional expertise, with hands-on experience in ETL/ELT, data warehousing, and the listed data technologies. Candidates should also understand structured and unstructured data, batch and streaming environments, AI and generative AI concepts, RAG, Agile delivery, and JIRA.

Skills

ETL/ELT Development
Data Warehousing
SQL
NoSQL
Python
Spark
Scala
SSIS
AWS Glue
AWS
Azure
Hadoop
Netezza
Data Analysis
Data Mapping
Data Profiling

Benefits

Health Insurance
Tuition Reimbursement
Accident Insurance
Life Insurance
Retirement Savings Plans
Performance-Based Incentives
Discretionary Bonuses

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data And AI Products
ETL/ELT
Data Warehousing
SQL
NoSQL
Python
Spark
Scala
SSIS
AWS Glue
AWS
Azure
Cloud Storage
Cloud Computing
Hadoop
Netezza
Batch Processing
Streaming
Data Analysis
Data Mapping
Data Profiling
Artificial Intelligence
Generative AI
Prompt Engineering
Retrieval-Augmented Generation
Agile
JIRA
Automation
Regression Testing

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