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Added 1 day ago
GC
Data Engineer
GEI Consultants, Inc.
Markham, ON
- $90,000 to $150,000 CAD / year
- Full-time
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.
Added 1 day ago
GC
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
- $90,000 to $150,000 CAD / year
- Full-time
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.
Added 1 day ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.
Added 1 day ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.
Added 1 day ago
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Data & Analytics Architect
HRConnects
Toronto, ON
- Full-time
…enterprise data, analytics, and AI platforms using AWS and Databricks. This hybrid role combines hands-on architecture, cloud modernization, data engineering, governance, and client-facing…
Added 1 day ago
AE
Senior Business Analyst, Anaplan Developer (temp. 24 months)
Agnico Eagle Mines Limited
Toronto, ON
- Full-time
Certified Anaplan Developer or Anaplan Solution Architect.
Added 2 days ago
A(
AI Architect
AXIS (AXIS Capital)
Halifax, NS
- Full-time
The AI Architect will help shape and govern AXIS's AI landscape, translating business opportunities into practical technical designs. The role will work across architecture, engineering,…
Added 2 days ago
GS
Data Architect
Gala Solutions
Toronto, ON
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 2 days ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 2 days ago
GC
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
- $110,000 to $150,000 CAD / year
- Full-time
Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.
Added 3 days ago
M
Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
- Full-time
We’re looking for a Cloud Solution Architect (CSA) focused on Cloud & AI Data to help customers build unified, governed, secure, and AI-ready data estates on Microsoft Azure. In this…
Added 3 days ago
JG
Databricks Architect
J&M Group
Canada
- Contract
The Databricks Architect is responsible for designing, implementing, and governing enterprise data platforms on Azure Databricks. The role leads platform architecture, workspace…
Added 3 days ago
P
Lead Data Consultant, Manager
PwC
Toronto, ON
- Full-time
As a Manager - Data Engineering, you’ll work as part of a team of problem solvers, helping clients design, architect and deliver modern data platforms and analytics solutions across leading…
Added 3 days ago
KR
Data Architect
KTek Resourcing
Toronto, ON
- $70 to $75 CAD / hour
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 3 days ago
IG
Solution Designer Lead
Insight Global
Toronto, ON
- $90 to $105 CAD / hour
- Contract
-7+ years experience, someone who has a mix of hands on development in the past but has since moved into an architect/senior technical leadership role.
Added 3 days ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.
Added 3 days ago
OP
Senior Data Engineer
Ontario Power Generation
Oshawa, ON
- Full-time
Collaborate with data architect, business analysts, data scientists, data engineers, data analysts, solution architects and data modelers to develop data pipelines to feed our data…
Added 3 days ago
AC
AI & Data Solution Architect
ALTEN Canada
Mississauga, ON
- Contract
Design and evolve Data & AI solution architectures
Added 4 days ago
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Platform Administration Lead with Management Experience
Infosys
Calgary, AB
- Full-time
Proven experience as Platform Architect / Solution Architect
Added 4 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
As a Forward Deployed Technical Consultant-Databricks, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining…
Added 4 days ago
AI
Data & Analytics Solutions Architect - AI platforms, AWS, Databricks
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are hiring a senior Data & Analytics Solutions Architect to lead the design of enterprise data, analytics, and AI platforms using AWS and Databricks. This role combines hands-on…
Added 4 days ago
ZS
Data Architect - Technical Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
…data architectures aligned with business requirement and also architect modern data warehouse, data lakes, and cloud-based data plat form using ETL, Azure, ADF, Databricks, big data and…
Added 4 days ago
AC
Cloud Infrastructure Architect
Adastra Corporation
Toronto, ON
- Other
The Azure Infrastructure Architect is a hands-on consulting architect who designs and delivers the Azure infrastructure foundations that data, analytics and AI programs run on: landing…
Added 4 days ago
Senior Project Manager - Platform Administration Lead
Infosys
AB
Proven experience as Platform Architect / Solution Architect
Added 4 days ago
A
Architecte IA et données
Astek
Toronto, ON
- Full-time
Données et analytique : Databricks, Snowflake, Iceberg, Data Vault, Informatica IICS, Power BI, PowerDesigner

Ontario Power Generation

Senior Data Engineer

Oshawa, ON, Canada

Salary Range: $2,751.92 - $3,227.88 · Full-time

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Job details

Pay: Salary Range: $2,751.92 - $3,227.88
Job type: Full-time
Apply by: Nov 20, 2026
Experience: Over 4 years experience building data pipelines and creating data processing frameworks using Python, PySpark, SparkSQL and SQL.
Posting language: English
Posted: Oct 21, 2026

Original job description

Posting End Date: 04/11/2026

Status: Temporary 36.00 months.

Number of Openings: 1

Education Level: 4-Year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning.

Base Location: 1908 Colonel Sam Drive, Oshawa, Ontario L1H 8W8

Shift: Days

Travel Required: 10%

Salary Range: $2,751.92 - $3,227.88

Electrify your career and help build a brighter tomorrow.

Every generation has a challenge that defines them. At OPG, we are calling on all innovators, disruptors, thought leaders and change-makers. Join us as we work to electrify life in one generation and build a sustainable future powered by our electricity, our ideas, and our people. Join OPG and make history.

Whether you work in the skilled trades or are a business professional, a career at OPG is an opportunity to electrify your life on -- and off -- the job.

Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Senior Data Engineer.

Job Overview

Reporting to the Senior Manager, Data Lake & Platform Engineering, this position is responsible to build and support the data driven applications which enable innovative, customer centric digital experiences. You will build reliable, supportable & performant data lake & data warehouse products to meet the organization’s need for data to drive reporting analytics, applications, and innovation. You will employ best practice in development, security and accessibility to achieve the highest quality of service for our customers.

Key Accountabilities

Build and productionize modular and scalable data ELT/ETL pipelines and data infrastructure leveraging the wide range of data sources across the organization.
Implement data ingestion and curation data pipelines that offer an integrated, business-centric single source of truth for business intelligence, reporting, and downstream system use, in collaboration with Data Architect.
Work closely with Data Architect, infrastructure and cyber teams to ensure data is secure in transit and at rest.
Clean, prepare and optimize datasets for performance, ensuring lineage and quality controls are applied throughout the data integration cycle.
Support Business Intelligence Analysts in modelling data for visualization and reporting, using dimensional data modeling and aggregation optimization methods.
Provide production support for issues related to ingestion, data transformation and pipeline performance, data accuracy and integrity.
Collaborate with data architect, business analysts, data scientists, data engineers, data analysts, solution architects and data modelers to develop data pipelines to feed our data marketplace.
Assist in identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Collibra, and Power Bl.
Work within the agile SCRUM work management framework in delivery of products and services, including contributing to feature & user story backlog item development, and utilizing related Kanban/SCRUM toolsets.
Assist in building data catalog and maintenance of relevant metadata for datasets published for enterprise use.
Develop optimized, performant data pipelines and models at scale using technologies such as Python, Spark and SOL, consuming data sources in XML, CSV, JSON, REST APls, or other formats.
Document as-built pipelines and data products within the product description, and utilize source control to ensure a maintainable code-base.
Implement orchestration of data pipeline execution to ensure data products meet customer latency expectations, dependencies are managed, and datasets are as up-to-date as possible, with minimal disruption to end-customer use.
Create tooling to help with day to day tasks, and reduce toil via automation wherever possible.
Work with Continuous Integration/Continuous Delivery and DevOps pipelines to automate infrastructure, code delivery and product enhancement isolation and proper release management and versioning.
Monitor the ongoing operation of in-production solutions, assist in troubleshooting issues, and provide Tier 2 support for datasets produced by the team, on an as-required basis.
Implement and manage appropriate access to data products via role-based access control.
Write and perform automated unit and regression testing for data product builds, assist with user acceptance testing and system integration testing as required, and assist in design of relevant test cases.
Participate in peer code review sessions, and approve non-production pull requests.

Qualifications

4-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning.
Over 4 years experience building data pipelines and creating data processing frameworks using Python, PySpark, SparkSQL and SQL.
Experience as a Data Engineer building data pipelines.
Fluent in creating data processing frameworks using Python, PySpark, SparkSQL and SQL.
Experience with Azure Data Factory, ADLS, Synapse Analytics and Databricks.
Experience building data pipelines for Data Lakehouses and Data Warehouses.
Good understanding of data structures and data processing frameworks.
Knowledge of data governance and data quality principles.
Effective communication skills to translate technical details to non-technical stakeholders.

The successful candidate will exhibit uncompromising integrity and commitment to upholding corporate values, and the OPG Code of Business Conduct.

OPG is committed to fostering an inclusive, equitable, and accessible environment. If you require accommodation during the selection process, please contact AODA@opg.com.

What makes a career at OPG different?

With operations across Ontario, OPG is one of the most diverse power producers in North America. As the largest generator in Ontario, we meet approximately 50% of the province’s electricity needs, largely from low-carbon sources like nuclear and hydro.

As we work to achieve our vision of Electrifying life in one generation, OPG and our family of companies are also helping advance the development of new low-carbon technologies such as Small Modular Reactors (SMRs), refurbishment projects, and electrification initiatives to help power the growing demands of a growing economy. Join OPG and make history.

The Darlington New Nuclear Project is leading the way in the advancement of Small Modular Reactor (SMR) technology in Canada – the future of nuclear power generation! Using new and innovative technologies such as small modular reactors, hydrogen and battery storage, while expanding our hydroelectric and nuclear portfolios, we are changing the electricity landscape in Ontario.

Important Information

The base salary range considers many factors including, but not limited to experience, education, and training, including any collective agreement requirements for union represented positions. It is not typical for the salary to be offered near the top of the range, and salary is dependent on numerous factors. For management roles, the base salary range does not represent the total compensation package. The total compensation package for regular full-time management roles includes pay-for-performance programs for annual and medium time periods. Maintaining a high-performance culture and excellence is a core expectation of every member of our leadership team and is rewarded through the established compensation framework.

OPG is committed to employment equity. As such, we encourage applicants from equity-seeking communities (Indigenous Peoples, racialized persons, persons with disabilities, and women). We strongly believe that alleviating the under-representation of equity-seeking individuals will create a stronger OPG team and allow us to better serve the needs of our diverse communities.

In order to fulfill the above-mentioned purpose, priority in hiring may be given to qualified persons who self-identify as a member of equity-seeking groups as identified in the application process. This initiative constitutes a special program under the Human Rights Code/Canadian Human Rights Act.

All job postings at OPG are to fill existing vacancies within our organization.

OPG may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

Please submit your application online at https://jobs.opg.com/. OPG thanks all those who apply; however, only candidates considered for an interview will be contacted.

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More about this job

Responsibilities

Build, productionize, and support scalable data pipelines and data infrastructure that deliver reliable, secure, high-quality data for analytics, reporting, and downstream applications. Collaborate across technical and business teams to optimize data products, automate delivery and operations, maintain metadata and access controls, and provide production support.

Requirements

Requires a four-year university education in computer science, computer/software engineering, or a relevant data-related program, plus over four years of experience building data pipelines and processing frameworks. Candidates should be proficient in Python, PySpark, SparkSQL, and SQL, with experience in Azure data services, lakehouse and warehouse pipelines, data governance and quality, and communicating technical information to non-technical stakeholders.

Skills

Python
PySpark
SparkSQL
SQL
Azure Data Factory
Azure Data Lake Storage
Azure Synapse Analytics
Azure Databricks
Data Pipeline Development
ETL/ELT
Data Lakehouses
Data Warehouses
Data Modeling
Data Governance
Data Quality
DevOps

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Pipelines
ETL/ELT
Python
PySpark
SparkSQL
SQL
Azure Data Factory
Azure Data Lake Storage
Azure SQL Databases
Azure Data Warehouse
Azure Synapse Analytics
Azure Databricks
Collibra
Power BI
Data Lakehouse
Data Warehouse
Dimensional Data Modeling
Data Governance
Data Quality
Data Catalog
Metadata Management
Role-Based Access Control
CI/CD
DevOps
Agile
Scrum
Kanban
Automated Testing
Data Security

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