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Added 5 hours ago
AB
DevOps Automation Engineer (OpenShift / .NET / CI/CD)
Ateko, backed by Bell Canada
Mississauga, ON
- Contract
We are seeking an experienced DevOps Automation Engineer to join a high-performing Agile Scrum team responsible for supporting a large portfolio of enterprise applications. The team is…
Added 5 hours ago
P
Cloud Security Engineer
Paymentus
Richmond Hill, ON
- Full-time
The Cloud Security Engineer is responsible for helping secure the cloud-native infrastructure, platforms, services, and deployment patterns that support the Paymentus SaaS platform. This…
Added 9 hours ago
Q
Devops Engineer
Qorsa
Waterloo, ON
- Full-time
We are hiring a DevOps Engineer to run the build, release and deployment infrastructure for CasQade, our crypto-agile post-quantum platform, and for our AI applications. Our components ship…
Added 12 hours ago
B
Sr. Azure Data Engineer-DataBricks
BeachHead
Toronto, ON
- Contract
Working with one of our top financial clients, this role calls for a Sr. Azure Data Engineer-DataBricks. This position involves working within a dynamic team to support large-scale data…
Added 12 hours ago
Y
Site Reliability Engineer (Application Support)
Yochana
Calgary, AB
- Full-time
The Wealth Management Production Management Site Reliability Engineer position is a highly visible/critical role, which will be a team member of technical SMEs managing the stability and…
Added 12 hours ago
V
HPC (High-Performance Computing) Consultant
VySystems
Canada
- Full-time
…automation. Depending on experience, candidates may be considered for Platform Engineer, Kubernetes Engineer, HPC Engineer, Cloud Infrastructure Engineer, DevOps Engineer, AI Infrastructure…
Added 12 hours ago
KR
Cloud Data Engineer
KTek Resourcing
Montreal, QC
- Contract
We are seeking a Cloud Data Engineer to design, develop, and maintain scalable data solutions on AWS and Google Cloud Platform. The successful candidate will build reliable data ingestion…
Added 12 hours ago
KR
Cloud Data Engineer
KTek Resourcing
Montreal, QC
- Contract
We are seeking a Cloud Data Engineer to design, develop, and maintain scalable data solutions on AWS and Google Cloud Platform. The successful candidate will build reliable data ingestion…
Added 12 hours ago
AS
Full Stack Developer
Apex Systems
Toronto, ON
- $55 to $67 USD / hour
- Contract
The ideal candidate is a strong hands-on engineer with deep full stack expertise, capable of translating business requirements into robust technical solutions. This individual will work…
Added 12 hours ago
TM
Site Reliability Engineer
Tech Mahindra
Calgary, AB
- Full-time
…collect, analyse and make recommendations on optimizing the platform. This position will mainly perform DevOps/SRE role in Java, Unix & SQL technologies…
Added 12 hours ago
I
DevOps Engineer
InfoCepts
Canada
- Full-time
Looking for a DevOps Engineer with strong expertise in Azure DevOps, CI/CD, Infrastructure as Code (Bicep/ARM), PowerShell/Python scripting, and cloud-native architectures.
Added 12 hours ago
S
DevOps Automation Engineer
SMARTFOX
Canada
- Full-time
DevOps Engineer I - 0-2 years : Pipeline maintenance, scripting, monitoring, and scoped automation, learning our platform with a dedicated mentor
Added 12 hours ago
Y
Salesforce QA Engineer
Yochana
Toronto, ON
- Full-time
Solid experience with test management tools (JIRA, Zephyr, Azure DevOps, QTest, etc.).
Added 12 hours ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring…
Added 12 hours ago
Salesforce Production Support Associate
NTT DATA Services
Halifax, NS
Reporting to the IT Team Lead, the Senior Salesforce Production Support Engineer will be a key member of the Salesforce Platform Production Support team, responsible for ensuring the…
Added 12 hours ago
M(
[C] Senior Software Engineer - Developer Platform
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON · Scotiabank Arena
- Full-time
We are looking for a senior, hands-on software engineer with broad experience across software development, cloud infrastructure, DevOps, and developer tooling. You should be comfortable…
Added 12 hours ago
A
Databricks DBT - Lead Engineer || Toronto ON - 5 Days/Onsite || FTE
AceStack
Toronto, ON
- Full-time
Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.
Added 12 hours ago
IG
Full Stack Developer
Insight Global
Toronto, ON
- $50 to $60 CAD / hour
- Contract
…Node.js, Python, and SQL. The ideal candidate is a strong hands-on engineer with deep full stack expertise, capable of translating business requirements into robust technical solutions.…
Added 12 hours ago
T
Senior QA Automation Engineer (Contract)
TekRek
Toronto, ON
- Contract
This is a hands-on senior role that covers both functional and automation testing across a production SaaS platform. You’ll own quality from requirements review through release. That means…
Added 12 hours ago
V
Salesforce QA Engineer
VySystems
Toronto, ON
- Full-time
This job posting is for an existing, active vacancy and we are looking to hire a Salesforce QA Engineer.
Added 12 hours ago
Java Developer
Capgemini
Montreal, QC
We are seeking a Java Engineer to join the Firm Market Risk Technology Team. In this hands-on Software Engineering role, the successful candidate will design, build, enhance, and optimize…
Added 12 hours ago
A
DevOps/Cloud Engineer
Auctria
Remote, Canada
- Full-time
- Remote
…commitment to continuous improvement. We are seeking an enthusiastic DevOps/Cloud Engineer to join our lean yet impactful team and help us take our projects to the next…
Added 12 hours ago
Dynamics / Power platform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft Power Platform Engineer with expertise in AI Builder, Copilot, Dynamics 365, and Power Apps. The ideal candidate will have experience designing and…
Added 12 hours ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 12 hours ago
Capital market support engineer
Capgemini
Montreal, QC
Support Engineer experience in handling incidents.

Closed listing

Municipal Property Assessment Corporation

Lead Data Engineer

Pickering, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Oct 20, 2026
Positions available: 1
Posting language: English
Posted: Oct 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

Date: Aug 14, 2026

Location:

Pickering, ON, CA

Type of Position: Permanent

Type Of Position

Number of Positions: 1

Salary Min: $110,783.00

Salary Max: $132,157.00

Description

Do you want to be part of a team helping to strengthen every community across Ontario? Are you interested in seeing the importance of your work firsthand? Do you have a passion for big data and cloud computing – and know the benefit of using data to improve business practices?

Become a Lead Data Engineer with MPAC

The Municipal Property Assessment Corporation (MPAC) is made up of a team of experts who understand local communities and assess every property in Ontario. What we do provides the very foundation that municipalities use to base the property taxes needed to pay for the services we use every day.

Equity, Diversity, Inclusion and Anti-Racism

MPAC is committed to Equity, Diversity, Inclusion and Anti-Racism. We are taking important steps towards ensuring that all voices are respected, valued and being heard. MPAC is dedicated to fostering an environment where employees can bring their full, unique and authentic selves and are inspired to do their best work.

Our Information Technology team works closely with each department across the business to design, build and deliver innovative solutions that help make MPAC an international leader in the property assessment industry. The way we think about technology is different, and our teams are proud to share their knowledge and contribute to meaningful, technology-enabled success stories that enhance operational intelligence and customer service delivery. We tackle complex problems collaboratively in an agile environment, and are committed to ensuring MPAC technology is consistently available, scalable, performance-based and secure. We’re a group of forward-thinking and talented professionals who stay ahead of the game by using open source technology, cutting-edge cloud computing, advanced analytics and predictive and machine learning models.

Job Description

What makes you great for this role?

You are a data engineering leader with a passion for building scalable, reliable, and innovative enterprise data solutions. You bring deep expertise in modern data engineering, cloud platforms, and data architecture, along with the ability to provide technical direction, solve complex challenges, and build strong relationships across technical and business team

We Have

A team of highly skilled, dedicated and collaborative staff to work with
Leadership that supports you
An enterprise that embraces change
A work environment that has flexible work locations (including hybrid), hours of work and overall employee wellness support

You Have

Completion of a university degree or college diploma in Computer Science, Data Engineering, Software Engineering, Information Systems or a related discipline, or an equivalent combination of education, training and experience
Seven (7) years of progressively responsible experience in enterprise data engineering, software engineering or enterprise data platform development, including experience leading complex technical initiatives and providing technical leadership within multidisciplinary teams
Advanced knowledge of enterprise data engineering principles including data modelling, cloud data platforms and DataOps practices
Demonstrated ability to establish engineering standards, mentor technical teams and influence enterprise engineering practices
Experience designing and developing scalable data pipelines, integration frameworks and cloud-native data solutions supporting operational reporting, analytics and AI initiatives
Strong knowledge of relational and non-relational databases, data architecture, data quality management, metadata, data governance and enterprise integration patterns
Experience with source control, CI/CD pipelines, DevOps/DataOps and agile delivery methodologies, including GitLab CI/CD pipelines
Hands-on experience with enterprise cloud data engineering technologies and programming languages such as SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, PostGres, AWS data services or comparable enterprise data platforms, including PostgreSQL, Redshift, AWS SQS, AWS S3, RabbitMQ, Kubernetes and Rancher
Experience using enterprise development and collaboration tools such as Git, Bitbucket, Jira and Confluence
Knowledge of enterprise architecture principles, cloud computing, information security and privacy, and best practices
Excellent interpersonal, coaching, relationship management, oral and written communication skills

Nice To Have

Knowledge of data engineering practices supporting advanced analytics, artificial intelligence and machine learning initiatives

What You Will Do

Provide technical leadership for enterprise data engineering initiatives and resolve complex engineering challenges
Lead the design, development and optimization of scalable data platforms, pipelines, integration frameworks and migration solutions
Establish engineering standards, reusable frameworks, automation and DataOps/DevOps practices
Design and develop Online Transaction Processing (OLTP) systems that support scalable, reliable and high-performance operational workloads
Implement data quality, governance, security, metadata, lineage, monitoring and observability practices
Collaborate with technology teams and business stakeholders to define solutions, manage technical risks and deliver enterprise data capabilities

Additional Information

Requisition ID: 3137
Existing Vacancy: Yes
Job Type: Union
Closing Date: October 20, 2026

Ready to apply?

Please note, only applications submitted through the Applicant Tracking System will be accepted.

Successful candidates will be required to undergo a background verification with Mintz Global Screening. By applying to this job posting, you are providing your consent to MPAC to share your name, email address and phone number with Mintz, to conduct the criminal and driver abstract check and for Mintz to disclose the results to MPAC, should you be the successful incumbent.

MPAC is committed to fostering an inclusive, accessible environment where all employees and members of the public feel valued, respected and supported. We are dedicated to building a workforce that reflect the diversity of the public and communities we serve.

Persons with disability who need accommodation in the application process or those needing job postings in an alternative format may email their request to careers@mpac.ca.

We may use technology and automated tools to support recruitment and selection processes. All artificial intelligence (AI) outputs are reviewed and validated by our recruitment team.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

Please note that MPAC prohibits employees from holding a current/valid real estate license and successful applicants must at least suspend their real estate licenses during their period of employment at MPAC as outlined in our Employee Code of Conduct.

Job advertisements for positions that have been designated bilingual will be posted in both English and French on our website. Positions that are not designated bilingual are not translated and are only posted in English on the English version of our website.

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About employer

More about this job

Responsibilities

Provide technical leadership for enterprise data engineering initiatives and lead the design, development, optimization, and migration of scalable data platforms, pipelines, and integration frameworks. Establish engineering and DataOps practices, build high-performance OLTP systems, and implement data quality, governance, security, metadata, lineage, monitoring, and observability capabilities in collaboration with technical teams and business stakeholders.

Requirements

Requires a university degree or college diploma in computer science, data engineering, software engineering, information systems, or a related discipline, or equivalent education and experience. Requires seven years of progressively responsible enterprise data or software engineering experience, including technical leadership, and advanced knowledge of data engineering, cloud platforms, architecture, databases, CI/CD, and enterprise development tools.

Skills

Enterprise Data Engineering
Data Architecture
Cloud Data Platforms
Data Modeling
Scalable Data Pipelines
Data Integration
DataOps
DevOps
SQL
Python
Java
Apache Spark
Microsoft Fabric
Databricks
Azure Data Factory
Snowflake

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Engineering
Data Architecture
Data Modeling
Cloud Computing
Cloud-Native Solutions
Data Pipelines
Integration Frameworks
DataOps
DevOps
CI/CD
GitLab CI/CD
Agile Delivery
SQL
Python
Java
Groovy
Spring Boot
Apache Spark
Microsoft Fabric
Databricks
Azure Data Factory
Snowflake
PostgreSQL
Amazon Redshift
AWS SQS
AWS S3
RabbitMQ
Kubernetes
Rancher
Data Governance

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