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Added 53 mins ago
LD
Staff Data Engineer
Loblaw Digital
Toronto, ON
- Full-time
As a Staff Data Engineer, you will play a technical leadership and architecture role on the Retail Media Platform team. This is a senior, hands-on position focused on designing, building,…
Added 56 mins ago
M
Software Engineer II
Marqeta
Remote, Canada
- Full-time
- Remote
As Marqeta's Software Engineer II, you will deliver resilient and sustainable software projects from design to implementation and rollout. You will execute on defined projects to achieve…
Added 1 hour ago
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DevOps Engineer
Synechron
Halifax, NS
- $110,000 to $115,000 CAD / year
- Full-time
Experience with monitoring, logging, observability, and alerting solutions
Added 2 hours ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
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…
Added 18 hours ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
…multi-cloud environments (GCP, AWS, Azure). The SRE will drive observability improvements, automate processes, and maintain compliance while collaborating with cross-functional teams to…
Added 22 hours ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 1 day ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Support AI governance, observability, monitoring, and responsible AI controls.
Added 1 day ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
Experience implementing observability, quality evaluation, red-teaming, hallucination mitigation, safety controls, and continuous improvement practices for AI systems*
Added 1 day ago
MS
Senior Software Quality Engineer
Myant Shared Service Corp.
Mississauga, ON
- Full-time
…thinks systematically about correctness, regression prevention, observability, and long-term platform reliability, and who treats AI as an integral part of the engineering toolkit rather…
Added 1 day ago
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Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
- Full-time
Hands-on production monitoring. Operating production monitoring and issue triage (Sentry or equivalent); treats observability and CI/CD as part of “done.”
Added 1 day ago
BC
Technical Delivery Lead
BrainRidge Consulting
Toronto, ON
- Full-time
Set the bar for code quality, testing, reviews, documentation and observability.
Added 1 day ago
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Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…dynamic, client-facing environment. You operate as the senior engineer on a delivery pod, mentor Associates, own technical workstreams end-to-end, and translate client ambiguity into…
Added 1 day ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
Added 1 day ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an…
Added 1 day ago
B
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 1 day ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 1 day ago
C
DevOps Consultant – Application Release & Platform Operations
CGI
Halifax, NS
- Full-time
Implement monitoring, logging, alerting, and operational observability solutions.
Added 1 day ago
O
AI Automation Engineer
Osmow's
Mississauga, ON
- Full-time
Observability for pipelines and agents: dead-man checks (Healthchecks.io or similar), structured logging, and alerting that catches silent failures.
Added 1 day ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the IC3 AEGIS team, you will design and build an AI-driven platform supporting centralized security automation and risk remediation. You will develop…
Added 1 day ago
SI
Senior Software Engineer (Frontend), Search
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…You'll consider testability, upgradeability, scalability, and observability throughout the development…
Added 1 day ago
Senior Software Engineer - Agentic AI security - 2 positions
Tigera
Vancouver, BC
…of the stack: traffic interception, policy enforcement, and observability for agentic workloads. You’ll take ideas from prototype to production…
Added 1 day ago
KG
DevOps Platform Engineer | AI & LLMOps Infrastructure
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: DevOps Platform Engineer | AI & LLMOps Infrastructure
Added 1 day ago
JG
FORWARD DEPLOYEMENT ENGINEER
J&M Group
Canada
- Full-time
Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and DataOps practices.
Added 1 day ago
Senior Backend Engineer II - Patient Experience
Prenuvo
Vancouver, BC
We're looking for a Senior Backend Engineer II to join our Patient Experience team and own the communications platform that keeps patients informed throughout their journey: booking…
Added 2 days ago
C
Software Engineer, GPU Inference
Cerebras
Toronto, ON
- Full-time
We are hiring a Software Engineer to productionize and optimize our GPU serving stack, working across our custom inference APIs, the vLLM serving runtime, the AMD ROCm software stack, and…

AgileGrid Solutions

Senior Data Developer

Canada

Full-time

Apply About employer

Applications open in a new tab.

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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