Jobs in Canada

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Added 4 hours ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
We are Looking for a Intermediate Full stack Developer to join an established technology team.
Added 4 hours ago
H
Data Scientist
Hays
Toronto, ON
- Contract
Strong proficiency in Python, SQL, and data manipulation techniques.
Added 4 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Systems Testing/QA Specialist with strong expertise in enterprise-level software testing, manual and automated testing, test strategy development, test…
Added 6 hours ago
SI
Java Software Engineer - Strong in Python, Reactjs and Linux experience
Smart IT Frame LLC
Toronto, ON
- Contract
Strong experience with SQL, NoSQL databases and ORMs
Added 6 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 6 hours ago
AS
Data Specialist
AgileGrid Solutions
Canada
- Full-time
The ideal candidate combines deep technical expertise in Databricks, SQL, Python, and modern Business Intelligence platforms such as Power BI and Tableau with a strong understanding of…
Added 6 hours ago
AC
Trader (Blockchain) Toronto, ON
AP Capital
Toronto, ON
- Full-time
Basic programming or scripting knowledge (Python, SQL, etc.) is a plus
Added 7 hours ago
LI
Jira Software Engineer
LanceSoft, Inc.
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
This role combines Jira Service Management (JSM) administration and workflow automation with Java and Python development, API integrations, and AI-driven automation to improve request…
Added 7 hours ago
G
Product Analyst
GamblingCareers.com
Montreal, QC
- Full-time
Collaborate directly with the game team in supporting their day-to-day data needs.
Added 8 hours ago
E
Java Python Senior Software Developer
Elsevier
Montreal, QC
- Full-time
Possess current and extensive Java/Python Development skills. Beyond Python and Java experience, we work with the following technologies regularly: Confluent Kafka, Kubernetes,…
Added 9 hours ago
ZL
[SCFD2MWC] AI Architect
ZettaMine Labs Pvt. Ltd.
Canada
- Full-time
Platform & Integration: Python, SQL, REST APIs, Kubernetes, Terraform, CI/CD pipelines, Power BI, and Tableau.
Added 12 hours ago
CI
Satellite Engineering Student
Calian in Space & Technology
Montreal, QC
- Internship
Compétences en programmation (Python, Java, SQL, Perl, Matlab, C)
Added 13 hours ago
RB
Fraud Analyst
Rogers Bank
Toronto, ON
- Full-time
…step and consider this opportunity to make a meaningful impact with Rogers…
Added 15 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Administer identity, access, and licensing for applications (e.g., roles and permissions, provisioning) in alignment with governance and audit requirements
Added 16 hours ago
Fraud Analyst
Rogers Communications
Toronto, ON
…step and consider this opportunity to make a meaningful impact with Rogers…
Added 20 hours ago
X
Software Developer - Backend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 20 hours ago
X
Software Developer - Backend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
Experience with scientific/numerical Python libraries (NumPy, SciPy, pandas, xarray).
Added 20 hours ago
X
Software Development Manager
Xanadu
Toronto, ON
- Full-time
Strong foundational knowledge equivalent to a senior individual contributor, including hands-on experience with Python and Git.
Added 20 hours ago
X
Data Platform Engineer
Xanadu
Toronto, ON
- Full-time
…role first - you will be the first dedicated data engineer, with the opportunity to build a data team around you.This is a high-complexity, moderate-volume problem. Terabytes, not…
Added 20 hours ago
X
Senior Data Scientist – Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Production-quality Python, SQL, Spark, or other DS stack. Experience building AI-driven analytical tools and integrating ML models into user-facing products.
Added 23 hours ago
AC
Senior Analytics Engineer
Aviva Canada
Markham, ON
- Full-time
Proficiency in Python and SQL, with experience working with complex data models.
Added 1 day ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
…of experience in data engineering or software engineering, with a minimum of 3+ years in a senior or lead role. Proven experience in designing, building, and operating scalable ETL/ELT…
Added 1 day ago
SC
Senior Analytics Engineer
Securian Canada
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
This role is ideal for someone who enjoys combining hands-on technical expertise with big-picture thinking. Using your strengths in SQL, data modeling, and modern data transformation…
Added 1 day ago
SC
Director, Analytics & Insights
Securian Canada
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
…evolving an enterprise analytics capability that empowers leaders with trusted insights, scalable analytics products, modern business intelligence, and practical AI-enabled…
Added 1 day ago
SC
Director, Analytics & Insights
Securian Canada
Waterloo, ON
- $130,000 to $170,000 CAD / year
- Full-time
…evolving an enterprise analytics capability that empowers leaders with trusted insights, scalable analytics products, modern business intelligence, and practical AI-enabled…

AgileGrid Solutions

Senior Data Developer

Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Experience: Candidates should have at least 8+ years of experience in data engineering or software engineering, with a minimum of 3+ years in a senior or lead role.
Posting language: English
Posted: Oct 11, 2026

Original job description

About The Company

Intact Financial is a leading insurance provider committed to helping people, businesses, and society prosper during both good and challenging times. Our employees are at the core of our success, and we strive to foster a workplace culture that values diversity, innovation, and collaboration. We believe in investing in our people by offering comprehensive support, growth opportunities, and performance-based rewards. Our employee promise reflects our dedication to creating an inclusive environment where everyone can thrive and contribute meaningfully to our mission.

About The Role

We are seeking a highly skilled Senior Data Developer (Engineer) to join our dynamic team. This role is instrumental in establishing a robust data foundation for Contact Distributor, our new platform designed to centralize and manage broker and distributor master data. The platform aims to replace fragmented legacy systems, including mainframes, Microsoft Access databases, and Excel-based tools, with a trusted, governed view of brokerages, broker codes, and organizational hierarchies. As a key member of the initial product squad, you will be responsible for profiling, cleansing, migrating, and integrating legacy data. Your expertise will help embed data quality, governance, and operational reliability into the platform from inception, ensuring it meets the highest standards of accuracy and security.

You will work in a self-managed, cross-functional team alongside a Tech Lead, software engineers, architects, business experts, and a Product Owner. The ideal candidate is a hands-on senior data engineer capable of independently designing, building, and maintaining production-grade data pipelines. You should be comfortable working with incomplete information, validating assumptions against real data, and taking ownership from discovery through to production support. Your ability to collaborate effectively with both technical and business stakeholders will be critical to the success of this initiative.

Qualifications

Required qualifications include a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Candidates should have at least 8+ years of experience in data engineering or software engineering, with a minimum of 3+ years in a senior or lead role. Proven experience in designing, building, and operating scalable ETL/ELT pipelines, whether through code or ETL tools, is essential. Experience in migrating data from legacy systems, including mainframes, is highly valued. Strong SQL and relational data modeling skills, including performance tuning, are necessary. Proficiency in Python or Java for data pipeline development and familiarity with AWS ecosystem services are required. Candidates should also demonstrate a solid understanding of CI/CD practices, version control, automated testing, and observability. Leadership qualities, initiative, and the ability to influence and challenge decisions constructively are important. Candidates must be authorized to work in Canada; bilingualism in French and English is preferred for those in Quebec.

Preferred qualifications include experience with AWS data services such as Glue, EMR, and Athena, as well as Spark (PySpark or Java/Scala). Knowledge of ETL/integration tools like Informatica, Talend, or DataStage, and enterprise schedulers like Control-M, is advantageous. Experience with change data capture (CDC), event-driven architecture, Master Data Management concepts, and familiarity with Databricks or Snowflake will be considered a plus. Industry experience in P&C insurance, particularly in broker distribution, is also preferred.

Responsibilities

Collaborate with the Data Architect to co-design and implement the target data model, including hierarchies, historization, audit/versioning, and crosswalks from legacy data to golden records. Validate models against actual legacy data to ensure accuracy.
Design, develop, and maintain batch and incremental ETL/ELT pipelines on AWS, sourcing data from mainframes, flat files, and databases into layered data lakes (raw, standardized, curated). Ensure pipelines are configuration-driven, restartable, idempotent, monitored, and include robust error handling, orchestration, and scheduling.
Lead data migration efforts, including extraction, profiling, cleansing, normalization, matching, merging, and reconciliation during parallel runs and cutover phases.
Implement automated data quality controls based on business rules, ensuring data lineage, cataloging, security, and cost management across pipelines.
Publish trusted data to downstream systems such as reporting platforms and legacy backfeeds, working closely with Java backend teams to ensure seamless integration.
Apply DevOps principles by implementing unit, integration, and automated data tests, leveraging CI/CD pipelines and Infrastructure as Code, while adhering to security and governance standards.
Provide technical guidance, promote best practices through code reviews and documentation, and challenge decisions with evidence from data analysis. Contribute to design discussions, sprint planning, and stakeholder communication within an Agile environment focused on incremental delivery.

Benefits

Our compensation package extends beyond salary to include flexible work arrangements and a hybrid work model, supporting work-life balance. Employees can purchase up to five additional days off annually and access a variety of benefits aimed at supporting physical and mental wellbeing, such as telemedicine services and wellness accounts. We offer a share plan and other savings options, enabling employees to earn up to 12% of their salary or more, with opportunities for guaranteed lifetime income through our pension plans.

Annual bonuses are targeted at 12% of the base salary, with potential payouts of up to double the target, based on individual and company performance. We also participate in Employee Share Purchase Plans with company matching, fostering a culture of shared success. Our pension offerings provide long-term security, including options for guaranteed income for life through our defined benefit pension plan. We are committed to fostering a supportive and

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More about this job

Responsibilities

Design and operate AWS-based batch and incremental data pipelines, and lead the profiling, cleansing, migration, and reconciliation of legacy data into a governed platform. Collaborate with architects, engineers, and business stakeholders to establish data models and quality controls, integrate trusted data with downstream systems, and support reliable production delivery through testing, CI/CD, and technical guidance.

Requirements

A bachelor's or master's degree in computer science, software engineering, or a related field is required, along with at least eight years of data or software engineering experience and at least three years in a senior or lead role. Candidates need strong SQL and data modeling skills, Python or Java pipeline development experience, AWS familiarity, and experience with scalable ETL/ELT, legacy data migration, CI/CD, version control, automated testing, and observability.

Skills

Data Engineering
ETL/ELT Pipelines
SQL
Relational Data Modeling
Python
Java
AWS
Data Migration
Data Quality
Data Governance
Spark
CI/CD
Automated Testing
Change Data Capture
Master Data Management
Infrastructure as Code

Benefits

Flexible Work Arrangements
Hybrid Work Model
Additional Paid Time Off
Telemedicine Services
Wellness Accounts
Share Plan
Savings Options
Annual Bonuses
Employee Share Purchase Plan With Company Matching
Defined Benefit Pension Plan

Visa sponsorship

Not detected in the job text

Keywords

AWS
AWS Glue
Amazon EMR
Amazon Athena
Python
Java
Spark
PySpark
Scala
SQL
ETL/ELT
Informatica
Talend
DataStage
Control-M
Databricks
Snowflake
Change Data Capture
Event-Driven Architecture
Master Data Management
Data Lakes
Data Modeling
Data Migration
Data Quality
Data Governance
CI/CD
Infrastructure as Code
Automated Testing
Agile
P&C Insurance

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