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Added 1 hour ago
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Associate Principal Engineer -- Infor M3 Finance Functional Solution Architect
Nagarro
Brampton, ON
- Full-time
Strong facilitation, documentation, stakeholder-management, and decision-making skills. governance and data quality frameworks Snowflake migration/modernization experience
Added 1 hour ago
HO
Senior AI Engineer
Hydro One
Toronto, ON
- $90 to $110 CAD / hour
- Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 3 hours ago
PG
Platform Engineering – Data Infrastructure III
Peoples Group
AB · Vancouver, BC · Toronto, ON · Calgary, AB
- Full-time
As an experienced platform engineer, you build and run the infrastructure that other engineers depend on, and you measure your success by how fast and safely they can ship. Here, your…
Added 3 hours ago
AC
Principal Presales Solutions Architect
Adastra Corporation
Markham, ON
- Full-time
Snowflake: warehouse sizing and cost control, Snowpark, data sharing, and Horizon governance.
Added 3 hours ago
TC
Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
TechNeptune Consulting Inc.
Canada
- Contract
We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data…
Added 4 hours ago
Senior Data Scientist
TripleLift
Toronto, ON
The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of TripleLift’s bidding algorithms and developing scalable machine learning solutions that…
Added 8 hours ago
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Staff Data Engineer
MeeruAI
Canada
- Full-time
We are looking for a Staff Data Engineer to build and own the major subsystems of the data foundation - the pipelines, connectors, and curated models that feed the platform's analytics and…
Added 16 hours ago
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Data Governance Architect
Infostrux
Toronto, ON
- Full-time
…data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a reflection of our deep expertise and…
Added 18 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Microsoft certifications such as Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
Added 1 day ago
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Marketing Engineer & Director of AEO
Notified
Toronto, ON
- Full-time
We are looking for a Marketing Engineer & Director of AEO to own how our brand is discovered, understood, cited, and recommended across search engines, answer engines, AI assistants, and…
Added 2 days ago
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QA Engineer
Suger
Vancouver, BC
- $90,000 to $120,000 CAD / year
- Full-time
…cloud marketplaces like AWS, Azure, GCP, Oracle, Alibaba, and Snowflake - now one of the fastest-growing enterprise sales…
Added 2 days ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
This engineer will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake,…
Added 2 days ago
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BACKEND Software Engineer (AI)
Luxoft
Canada
- Full-time
…Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 2 days ago
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Full-Stack Software Engineer (AI)
Luxoft
Canada
- Full-time
…Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 2 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
Deep expertise and Subject Matter Expertise (SME) in Snowflake and dbt, including data modeling, transformation, testing, deployment and performance optimization.
Added 2 days ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Next Pathway is seeking an experienced Snowflake Data Engineer to support a major enterprise client that is building a new cloud data platform on Snowflake. This is a greenfield…
Added 2 days ago
AI
Data Engineer
Apptoza Inc.
Montreal, QC
- Contract
Our Client is looking for Senior Data Engineer, If you are interested, please share me your updated resume.
Added 2 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…meaningful insights from enterprise data. This Senior Business data engineer will play an indispensable role in assembling the necessary data products that fuel myriads of analytical models…
Added 2 days ago
ES
Software Engineering Team Lead
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Team Lead at Exchange Solutions, you are the senior hands-on engineer on your team, delivering a product area of our platform. You set the technical standard in the code your team…
Added 2 days ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Senior Data AI Engineer (GenAI & LLM Data Platform)
Added 3 days ago
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Data Engineer
Luxoft
Canada
- Full-time
…Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 3 days ago
KS
ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an ETL QA Engineer with strong experience in Databricks and PySpark, combined with hands-on exposure to AI-assisted development and prompt engineering. The ideal…
Added 3 days ago
K
Software Engineer
Kong
Remote, Canada
- $118,000 to $140,000 CAD / year
- Full-time
- Remote
The Software Engineer will be a key contributor to the Billing Platform Team, building and maintaining the TypeScript microservices that power Kong's commercial infrastructure. You'll work…
Added 3 days ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 3 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods.

Alquemy Search & Consulting

Lead Data Engineer

Toronto, ON, Canada

$100,000 to $120,000 USD / year · Full-time

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Job details

Pay: $100,000 to $120,000 USD / year
Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Lead, Data Engineer

Full-time

Hybrid:** 4 days onsite/week, Monday–Thursday

The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to analyze opportunities, support investment decision-making, optimize portfolio insights, and strengthen enterprise management capabilities. Reporting to the Manager, Software Engineering, the Lead, Data Engineering works across investment teams including Capital Markets, Infrastructure, Private Equity, Private Capital and Ventures, and Corporate, in close collaboration with Finance, Risk & Compliance teams. As a key member of the Software Engineering team, the Lead, Data Engineering will be hands-on across the full data solution delivery lifecycle, leading the design, development, deployment, and operation of scalable data solutions. This role requires the ability to build trusted relationships with business and technology stakeholders, understand business priorities, define solution architectures, and deliver reliable data products that enable analytics, AI-driven capabilities, and operational excellence. The individual will collaborate closely with Power BI developers, Data Scientists, Investment Professionals, Architects, and Platform Teams, providing technical leadership and integration expertise across one or more application teams.

Responsibilities

Translate business requirements into scalable, secure, and reliable data solutions.
Lead the design, development, deployment, and operational support of data platforms, pipelines, and products using modern cloud and engineering practices.
Define and execute testing strategies, including unit, integration, performance, data quality, and automated regression testing.
Source, transform, and deliver structured and unstructured data assets for analytics, reporting, operational, and AI-enabled use cases.
Develop and maintain ELT/ETL pipelines that achieve high levels of reliability, scalability, performance, and security.
Optimize data pipelines, data models, and platform components for performance, cost efficiency, and operational excellence.
Implement and maintain CI/CD practices, monitoring, observability, auditing, and operational controls to support production-grade solutions.
Provision and manage Azure resources, ensuring appropriate security, governance, and cost management.
Troubleshoot complex technical issues and drive continuous improvement across data solutions and platforms.

Qualifications

Post-secondary education in Computer Science, Software Engineering, Information Technology, or a related discipline.

Required Skills

5+ years delivering complex data engineering and analytics solutions using Microsoft Azure. Experience in the financial services or investment industry is preferred.
Strong understanding of data engineering, cloud, and software engineering best practices, with experience developing and implementing operational procedures, standards, and documentation.
Consistent track record of building deep technical relationships. Experience in aligning expectations across various partners.
Strong analytical and troubleshooting skills, with the ability to trace data lineage, investigate complex workflows, and resolve technical issues with minimal direction.
Motivated and keen to work in a collaborative environment with a focus on team success, knowledge sharing, continuous improvement, and delivering business value.
Enterprise-scale experience designing, building, and supporting cloud-based data platforms, data products, and scalable ELT/ETL solutions on Microsoft Azure.
Strong experience with data architecture, data modeling, data warehousing, and dimensional modeling methodologies such as Kimball and Data Vault 2.0.
Experience with Snowflake.
Strong hands-on experience with Python, PySpark, and SQL.
Deep expertise and Subject Matter Expertise (SME) in Snowflake and dbt, including data modeling, transformation, testing, deployment and performance optimization.
Experience with data orchestration tools such as Prefect, Dagster, Airflow, ADF, or Synapse.
Experience designing and developing Azure Functions and Azure Logic Apps for data integration, automation, and event-driven solutions.
Experience designing data solutions that support AI-enabled use cases, semantic search, or unstructured data processing.
Proven experience implementing and maintaining CI/CD pipelines using GitHub Actions.
Experience translating business requirements into scalable technical solutions and collaborating effectively with business and technology stakeholders.
Experience working in the financial services, asset management, pension, investment management, or similar data-intensive industries.

Preferred Skills

Experience with Azure Databricks.
Experience with Microsoft Fabric.
Experience with Power BI report development, semantic models, and dashboard design.
Experience with containerization and container orchestration technologies.
Experience with Infrastructure-as-Code (IaC) and cloud automation practices.

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More about this job

Responsibilities

Lead the design, development, deployment, and operational support of secure, scalable data platforms, pipelines, and products on Azure. Translate business needs into reliable data solutions, optimize performance and cost, and implement testing, CI/CD, monitoring, governance, and operational controls.

Requirements

Requires post-secondary education in computer science, software engineering, information technology, or a related discipline, plus at least five years delivering complex data engineering and analytics solutions using Microsoft Azure. Candidates should have strong hands-on expertise in Snowflake, dbt, Python, PySpark, SQL, data architecture and modeling, orchestration, CI/CD, and stakeholder collaboration; financial or investment industry experience is preferred.

Skills

Microsoft Azure
Snowflake
dbt
Python
PySpark
SQL
Data Architecture
Data Modeling
Data Warehousing
ETL/ELT Pipelines
Data Orchestration
Azure Functions
Azure Logic Apps
GitHub Actions
CI/CD
Data Quality Testing

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Snowflake
dbt
Python
PySpark
SQL
Azure Databricks
Microsoft Fabric
Power BI
Prefect
Dagster
Apache Airflow
Azure Data Factory
Azure Synapse
Azure Functions
Azure Logic Apps
GitHub Actions
CI/CD
ETL
ELT
Data Architecture
Data Modeling
Data Warehousing
Kimball Methodology
Data Vault 2.0
Semantic Search
Unstructured Data Processing
Infrastructure As Code
Containerization
Financial Services

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