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Added 1 month ago
EP
Project Estimation Manager [Hybrid or Remote] - Gestionnaire Estimation des Projets [Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
- Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 1 month ago
S
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
- Full-time
Title - Senior Full Stack AI Engineer / Technical Engagement Manager
Added 1 month ago
S
Senior Analytics Engineer – Data Modeling
SPECTRAFORCE
Toronto, ON · Greater Toronto Area, Canada
- Contract
Senior Analytics Engineer – Data Modeling (Databricks), Capital Markets
Added 1 month ago
Staff Data Infrastructure Engineer
Faire
Toronto, ON · Kitchener, ON
Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting
Added 1 month ago
Machine Learning Engineer III
Electronic Arts
Vancouver, BC
The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office…
Added 1 month ago
C
Senior SDET Analyst
Citi
Mississauga, ON
- Full-time
Must Have Skills:
Added 1 month ago
MD
Senior Systems / Cloud Engineer
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Work Shift/Work Hours: Day Shift
Added 1 month ago
GX
Azure Data Engineer (Automation & Integration)
Global X Canada
Toronto, ON
- $85,000 to $100,000 CAD / year
- Full-time
Global X Investments Canada Inc. is seeking an Azure Data Engineer to help build, support and automate our Azure-based data infrastructure. Reporting to the SVP, Digital Innovation & Data…
Added 1 month ago
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Principal Data Quality and Governance Engineer
''
Toronto, ON
- Full-time
Perform data profiling, cleansing, validation, and ongoing monitoring using data quality tools, SQL, Python, and AI-enabled anomaly detection capabilities.
Added 1 month ago
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Senior Applied AI Engineer
RaiseDesk
Remote, Canada
- Full-time
- Remote
Strong Python, and strong SQL against relational databases such as PostgreSQL or MySQL
Added 1 month ago
TC
Infra / Cloud & GenAI Architect
Tata Consultancy Services
Calgary, AB
- Full-time
Have Senior plus years of experience in design and implementation of Cloud technologies primarily Microsoft Azure and AWS
Added 1 month ago
H
Data Engineer
Hays
Toronto, ON
- Contract
We are seeking an experienced Senior Data Engineer with a strong background in Asset Management and modern cloud-based data platforms. The successful candidate will play a key role in…
Added 1 month ago
Software Engineer - Health Systems
FluidAI Medical
Kitchener, ON
We are looking for a Software Engineer to build and deliver the applications, data tools and integrations supporting FluidAI’s health systems technology initiatives. You will work across…
Added 1 month ago
Jr. Software Engineer - Health Systems
FluidAI Medical
Kitchener, ON
We are looking for a Jr. Software Engineer to help build and deliver the applications, data tools and integrations supporting FluidAI’s health systems technology initiatives. You will work…
Added 1 month ago
K
Senior Software Engineer (Python + DevOps)
Keasis
Montreal, QC
- Contract
We are looking for a technically strong Software Engineer with deep Python expertise and practical DevOps experience to build, deploy, operate, and improve technology solutions across…
Added 1 month ago
VS
Senior Splunk Engineer
Vsync Solutions
Toronto, ON
- Contract
Data Engineering & Querying: Author, test, and optimize clean, maintainable query logic (SPL, Python, SQL) to extract actionable insights from large, multi-faceted datasets.
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
AB · Edmonton, AB
- Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Vancouver, BC
- Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Toronto, ON
- Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Kitchener, ON
- Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Our offices currently operate on a hybrid model with three days in office
Added 1 month ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Our offices currently operate on a hybrid model with three days in office
Added 1 month ago
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Data Scientist
Lantern
AB · Edmonton, AB
- Full-time
Explore and prepare structured and unstructured data; perform feature engineering, statistical analysis, and model selection using Python, SQL, Spark, and Databricks notebooks.
Added 1 month ago
CT
Senior Data Engineer
Confluence Technologies
Canada
- Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 1 month ago
A
Senior Software Engineer
AspiringIT
Kitchener, ON
- Full-time
Aspiring IT Inc. is seeking an experienced Senior Software Engineer to design, develop, integrate, and maintain scalable software applications and cloud-based systems.

Hays

Data Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Posting language: English
Posted: Sep 30, 2026

Original job description

Role: Data Engineer

Location: Toronto, ON

Type: Contract

Rate: CAD65/hr - CAD75/hr

We are seeking an experienced Senior Data Engineer with a strong background in Asset Management and modern cloud-based data platforms. The successful candidate will play a key role in designing, developing, and enhancing enterprise-scale data solutions that enable advanced analytics, data-driven decision-making, and scalable data products. This role requires hands-on expertise in Snowflake, strong cloud engineering capabilities, and experience delivering end-to-end data solutions within investment or asset management environments.

Key Responsibilities

Data Engineering & Solution Design

Design, develop, and maintain scalable data pipelines, data warehouses, and cloud-based data platforms.
Build and optimize data ingestion, transformation, and processing frameworks for structured and unstructured data.
Develop high-performance data solutions that support reporting, analytics, and business intelligence initiatives.
Ensure data platforms are secure, scalable, and aligned with enterprise architecture standards.

Platform & Cloud Engineering

Leverage cloud-native technologies to build robust and highly available data ecosystems.
Implement best practices for performance tuning, query optimization, and cost management within Snowflake.
Partner with engineering teams to evaluate and implement emerging technologies and platform enhancements.
Support automation, monitoring, and platform reliability initiatives.

Data Governance & DevOps

Establish and maintain strong data governance, quality, security, and compliance standards.
Contribute to CI/CD, DevOps, and infrastructure automation practices.
Monitor data workflows, troubleshoot issues, and proactively resolve platform bottlenecks.
Drive continuous improvement across data engineering processes and delivery practices.

Stakeholder Collaboration

Work closely with business stakeholders, analysts, architects, and product teams to understand requirements and deliver efficient technical solutions.
Translate business needs into scalable data products and actionable insights.
Provide technical leadership, mentorship, and guidance to junior team members.

Required Qualifications

Must-Have Skills

7+ years of experience in Asset Management (mandatory).
Proven hands-on experience working within the Asset Management or Investment Management domain.
Strong expertise with Snowflake, including:
Data Warehousing
Query Optimization
Performance Tuning
Cost Governance
7+ years of experience delivering large-scale data engineering and analytics initiatives.
5+ years of experience working with cloud platforms such as AWS, Azure, or GCP.
Strong programming skills in Python, SQL, and exposure to Java or Scala.
Experience building enterprise data lakes, data warehouses, and data pipelines.
Expertise with data integration, ETL/ELT frameworks, and data orchestration tools.
Experience with API design and microservices architecture.
Strong understanding of modern data architecture and data lifecycle management.

Preferred Technical Skills

Experience with AWS services such as S3, EC2, EKS, Glue, Athena, Redshift, or similar cloud-native technologies.
Experience with data visualization and analytics tools such as Power BI or Tableau.
Exposure to AI/ML-enabled data platforms and modern data stack technologies.
Familiarity with Hadoop, Oracle, or other enterprise data ecosystems.

Soft Skills

Excellent communication and stakeholder management skills.
Strong analytical and problem-solving abilities.
Ability to influence technical decisions and drive engineering best practices.
Proven experience working in cross-functional, fast-paced environments.
Strong leadership, mentoring, and collaboration skills.

Education

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.

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More about this job

Responsibilities

Design, build, and optimize scalable data pipelines, warehouses, and cloud platforms, with a focus on Snowflake performance, security, governance, and reliability. Collaborate with stakeholders to deliver data products and analytics solutions while providing technical leadership and mentoring.

Requirements

Requires 7+ years of experience in asset or investment management and large-scale data engineering, plus 5+ years working with cloud platforms. Candidates should have strong Snowflake, Python, and SQL expertise, experience with enterprise data architectures and integration, and a bachelor's or master's degree in a related field.

Skills

Snowflake
Data Engineering
Asset Management
Cloud Platforms
Python
SQL
Data Warehousing
Data Pipelines
ETL/ELT
Data Orchestration
AWS
API Design
Microservices Architecture
Data Governance
CI/CD
Performance Tuning

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Asset Management
Investment Management
Data Engineering
Cloud Platforms
AWS
Azure
GCP
Python
SQL
Java
Scala
Data Warehousing
Data Lakes
Data Pipelines
ETL/ELT
Data Orchestration
API Design
Microservices
Data Governance
CI/CD
DevOps
Power BI
Tableau
AI/ML
Hadoop
Oracle
Data Integration
Query Optimization
Cost Governance

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