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Added 11 mins ago
R
Director, Cash Management
RBC
Toronto, ON
- Full-time
Identify cash flow errors or potential value at risk to the Bank and manage to resolution or escalate to senior management with clear recommendations
Added 11 mins ago
AH
Senior Project Manager
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
…and communication are important components of the position. Data retrieval, synthesis, and analysis are also key components. The PM appropriately applies change management and process…
Added 41 mins ago
IE
Analyst, Business
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
IMAX is seeking a Business Analyst to bridge business functions, technology teams, data teams, project management, and senior leadership in defining and delivering technology-enabled…
Added 56 mins ago
RB
Senior Platform Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 1 hour ago
A
Senior AI and Agentic Developer
Accenture
Toronto, ON
- Full-time
As an Advanced AI, Large Language Model and Agentic AI Developer/Consultant, you will build production-grade AI applications that transform enterprise workflows. You will translate business…
Added 2 hours ago
J
Senior Product Manager
Jobgether
Canada
- Full-time
As a Senior Product Manager, you will shape the future of data-driven product experiences within an innovative SaaS environment. You will own the data foundation, analytics and reporting…
Added 2 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…serve as the technical bridge between product, engineering, data, and business stakeholders, ensuring solutions are technically sound, usable, and aligned with business…
Added 3 hours ago
UG
Senior Accountant (Permanent, Full-time) Vancouver
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Vancouver, BC
- Full-time
The Senior Accountant will work closely with the Controller, Finance and be responsible for full accounting cycle, period end closing, and preparation of financial statements for four legal…
Added 3 hours ago
CO
Manager Policy and Risk Management
City of Saint John
Saint John, NB
- Full-time
…Services. The incumbent will act in an advisory capacity to the senior police staff and Chief of Police in matters of research and analysis, policy, and risk management for the…
Added 4 hours ago
UO
Data Analyst
University of Waterloo
Waterloo, ON
- Full-time
The Data Analyst is the lead developer of reports and analytics derived from the complex student information systems (SIS) to support, facilitate, and enhance decision-making, planning, and…
Added 4 hours ago
A
HR Solutions Partner
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Mississauga, ON · Canada - Mississauga
- Full-time
Acting as a trusted advisor, the Solutions Partner builds strong relationships with senior managers, offering coaching, policy guidance and practical support rooted in deep HR discipline…
Added 4 hours ago
PM
Director Finance Business Partnership
Philip Morris International
Toronto, ON
- Full-time
The role partners closely with senior leaders to identify risks and opportunities, challenge assumptions, and influence key decisions through data-driven recommendations. It also drives…
Added 4 hours ago
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Senior Financial Analyst - Corporate Accounting
Husky Technologies
Bolton, ON
- Full-time
Title: Senior Financial Analyst - Corporate Accounting
Added 4 hours ago
S
Research Associate 2 (SRI) - Physical Sciences - Regular Full-Time 2026-19189 (2026-19189)
Sunnybrook
Toronto, ON
- Full-time
The Research Associate Level II will play a senior role in supporting the scientific and operational direction of the laboratory, overseeing the implementation and management of multiple…
Added 4 hours ago
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Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Serve as the senior finance partner to service leadership, operations, commercial teams, and Customer Success leaders, providing insight and challenge on strategic priorities, business…
Added 4 hours ago
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Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
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Translate complex data into clear, actionable recommendations for senior leadership
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Toronto, ON
…monitoring and reporting program performance and housing system data, supporting decision-making, and meeting the reporting requirements for Senior Management and City…
Added 5 hours ago
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Product Development: Using market and consumer insight data, build strategic product pipeline for short and long term plans, in collaboration with senior team and product merchandising…
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Senior Manager, Technology Strategy & Digital Transformation
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Vancouver, BC
- Full-time
Our Technology Strategy & Digital Transformation team is looking for a Senior Manager to advise business and technology leaders on complex transformation priorities. The successful…
Added 5 hours ago
A
Project Management Lead - Talent Pipeline
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Canada
- Full-time
Align senior client stakeholders to an agentic operating model, emphasizing outcome-based metrics, transparent AI usage, and fast review cycles.
Added 5 hours ago
RC
Management Consulting Director, Technology
RSM Canada
Toronto, ON
- Full-time
Provide leadership across complex technology environments involving ERP, cloud, data and analytics, AI, automation, enterprise applications, infrastructure, and integration architecture.
Added 6 hours ago
TS
Strategic Account Executive, Enterprise (Toronto/GTA)
Trust Science
Toronto, ON
- Full-time
10+ years of enterprise B2B sales selling fintech, data, analytics or decisioning solutions to banks
Added 6 hours ago
Director, Performance & Innovation, Health Products
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Lead recurring portfolio performance reviews and translate results into concise, decision-ready insights for senior leaders and key partners.
Added 6 hours ago
OT
Sr. Quality Assurance Developer
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Richmond Hill, ON
- Other
Senior QA Developer, Full-Time opportunity On-Site - Location: Richmond Hill, Ontario
Added 6 hours ago
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Oliver Wyman- Private Capital/Industrials- Engagement Manager
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Have an aptitude for analytical work, like sniffing out clues in massive data sets or hunting down the key issues in a hugely complex challenge.

Exchange Solutions

Senior Data Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: A minimum of 5 years’ progressive data engineering experience, with a demonstrated record of owning production data pipelines end-to-end.
Posting language: English
Posted: Nov 3, 2026

Original job description

Role Summary

The Senior Data Engineer reports to the Director, Information Technology Operations and designs, builds, and scales the data systems that support analytics, AI-enabled experiences, and organizational decision-making. The role owns significant parts of the data platform, including production pipelines, transformation layers, data models, semantic layers, data quality, observability, and engineering standards. It provides technical direction, mentors engineers and analysts, and partners with technical and business teams to deliver trusted, well-modelled data products. The role also evaluates and implements AI-assisted data engineering capabilities to improve pipeline development, transformation, documentation, metadata, data quality, and governed access to enterprise data while maintaining appropriate engineering controls and review.

Primary Responsibilities:

Data Platform Architecture & Technical Direction

Responsible for key contribution of significant parts of the data platform and drive long-term architectural decisions related to tooling, data modelling, semantic architecture, automation, and scalability.
Design data platform capabilities that reliably support analytics, reporting, operational use cases, and AI-enabled experiences.
Evaluate technical options and establish reusable patterns that improve platform maintainability, extensibility, and engineering effectiveness.

Pipeline Development & Transformation

Design, build, and maintain scalable, reliable production data pipelines and transformation layers using dbt and a medallion Bronze, Silver, and Gold architecture.
Write advanced SQL and Python to develop transformations, frameworks, automation, and reusable engineering tooling.
Responsible for production data pipelines end-to-end, including design, development, testing, deployment, monitoring, troubleshooting, optimization, and ongoing support.

Data Modelling & Semantic Architecture

Lead data modelling across dimensional models, slowly changing dimensions, fact and dimension design, and well-structured Silver and Gold layers.
Design and evolve semantic layers that define business entities, metrics, relationships, calculations, and governed business logic for consistent use across BI, analytics, and AI applications.
Develop metadata-driven and governed data structures that make enterprise data discoverable, understandable, and consistently consumable.

AI-Assisted Data Engineering & Enablement

Evaluate and apply AI-assisted engineering approaches to accelerate pipeline design, transformation logic, SQL generation, testing, documentation, troubleshooting, and optimization while maintaining strong review and engineering controls.
Explore AI-assisted schema understanding, metadata generation, relationship discovery, business-concept mapping, and generation of semantic definitions.
Partner with Analytics and Innovation AI Labs to enable natural-language-to-data, intelligent analytics, semantic retrieval, and other AI or LLM-based uses of governed enterprise data.

Data Quality & Observability

Responsible for evolving key elements of the data quality strategy, including testing frameworks, monitoring, alerting, service levels, observability, anomaly detection, and platform-wide validation.
Implement controls that identify pipeline, transformation, model, metadata, and semantic-layer issues early and support timely root-cause analysis and remediation.
Promote trusted data products through clear quality standards, transparent monitoring, and continuous improvement of reliability and usability.

Engineering Practices & Delivery Standards

Establish and champion engineering practices covering version control, CI/CD, code review, documentation, automated testing, clean maintainable code, and dbt project standards.
Develop reusable frameworks and automation that improve delivery consistency, reduce manual effort, and support safe changes across data environments.
Contribute to governance, cataloguing, lineage, metadata management, and data-contract practices that strengthen understanding and control of enterprise data.

Partnership, Mentorship & Team Growth

Collaborate with analysts, data scientists, product teams, and business stakeholders to translate business requirements into trusted, well-modelled data products.
Mentor and support engineers and analysts, provide technical guidance, and contribute to team capability and engineering maturity.
Communicate architecture decisions, data definitions, quality expectations, risks, and technical trade-offs clearly to technical and business stakeholders.
Contribute to the culture of the company, fostering Exchange Solutions' core values and policies.

Capability Requirements - Education, Skills & Experience:

Education & Experience

Post secondary education, with a degree in Data Engineering.
A minimum of 5 years’ progressive data engineering experience, with a demonstrated record of owning production data pipelines end-to-end.
Experience designing, developing, and operating data platforms that support analytics, reporting, operational use cases, or AI-enabled applications.
Experience translating business and analytical requirements into trusted data products in collaboration with technical and business stakeholders.
Experience leading data engineering projects or mentoring engineers and analysts is an asset.
Experience in a loyalty, retail, financial services, or other data-intensive environment is an asset.

Technical Skills

Expert SQL skills and strong Python proficiency for data engineering; working knowledge of Jinja.
Deep hands-on dbt experience, including advanced modelling, macros, packages, testing, documentation, and project architecture using dbt Core or dbt Cloud.
Strong command of medallion architecture and data modelling, including dimensional modelling, slowly changing dimensions, fact and dimension design, and semantic layers.
Experience designing or working with semantic models, governed business metrics, metadata-driven architectures, or governed business definitions.
Experience with cloud data warehouses such as Snowflake, BigQuery, Databricks, or Redshift and with cloud platforms such as AWS, Azure, or GCP.
Experience building and operating data quality, testing, monitoring, alerting, lineage, cataloguing, or observability capabilities.
Solid software engineering practices covering Git, CI/CD, automated testing, code review, documentation, and clean maintainable code.
Experience with orchestration tools such as Airflow, Dagster, Prefect, dbt Cloud, or Snowflake Tasks is an asset.
Familiarity with streaming or real-time data and infrastructure-as-code tools such as Terraform is an asset.
Ability to evaluate and safely incorporate AI-assisted tools into data and software engineering workflows, including development assistance, metadata enrichment, automated documentation, and intelligent data-quality tooling.
Experience with AI or LLM-enabled data platforms, natural-language-to-SQL, semantic retrieval, knowledge graphs, ontologies, semantic views, or agentic data engineering workflows is an asset.

Competencies & Behaviours

Ownership & Accountability - Takes end-to-end responsibility for production data pipelines, platform components, engineering quality, and resolution of risks or failures.
Architecture & Technical Judgement - Makes practical, forward-looking decisions that balance scalability, reliability, maintainability, data quality, delivery needs, and long-term platform direction.
Communication - Translates business requirements and complex data concepts into clear models, technical decisions, documentation, and guidance for technical and non-technical stakeholders.
Collaboration & Mentorship - Builds effective relationships across engineering, analytics, data science, Product, and business teams and raises team capability through practical coaching and knowledge sharing.
Innovation & Responsible AI - Explores new tools and AI-assisted approaches thoughtfully, validates their value, and applies appropriate review, governance, quality, and security controls.
Attention to Detail - Applies a disciplined approach to modelling, transformation logic, testing, metadata, semantic definitions, documentation, and production changes.

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More about this job

Responsibilities

Design, build, and operate scalable data platform components, production pipelines, transformation layers, data models, and semantic layers that support analytics, reporting, and AI-enabled applications. Set engineering standards, improve data quality and observability, evaluate responsible AI-assisted engineering approaches, and provide technical direction and mentorship while partnering with business and technical teams.

Requirements

Requires post-secondary education with a degree in Data Engineering and at least five years of progressive data engineering experience, including end-to-end ownership of production pipelines. Candidates should have expert SQL, strong Python, deep dbt experience, data modeling and cloud data platform expertise, and familiarity with engineering practices, data quality, and responsible AI-assisted tools.

Skills

SQL
Python
dbt
Jinja
Data Pipeline Engineering
Medallion Architecture
Dimensional Modeling
Semantic Layers
Cloud Data Warehousing
Data Quality and Observability
CI/CD
Git
Data Governance
AI-Assisted Engineering
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Jinja
dbt Core
dbt Cloud
Medallion Architecture
Bronze-Silver-Gold Architecture
Dimensional Modeling
Slowly Changing Dimensions
Semantic Layers
Snowflake
BigQuery
Databricks
Redshift
AWS
Azure
GCP
Airflow
Dagster
Prefect
Snowflake Tasks
Terraform
CI/CD
Git
Data Quality
Data Observability
Data Governance
Metadata Management
Natural-Language-to-SQL
LLMs

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