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Added 4 hours ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 4 hours ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 5 hours ago
Senior Backend Developer - Spectra
GHGSat
Montreal, QC
Full-time
We are looking for a senior engineer who wants their work to matter, who takes pride in building software that is reliable and genuinely useful, and who makes the team around them better.
Added 6 hours ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 7 hours ago
Senior Data Engineer
AGLC
AB · Edmonton, AB
Full-time
…decision‑making, and innovative digital services. We are looking for a Senior Data Engineer to help shape the next evolution of our data ecosystem and lead the design of modern, scalable…
Added 7 hours ago
Senior GoLang Engineer
Aarista Technologies
Vancouver, BC
Full-time
We're looking for a Full Stack Software Engineer who is equally comfortable architecting robust backend services in GoLang and building rich, data-heavy interfaces in React. This is a…
Added 7 hours ago
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 9 hours ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 9 hours ago
Senior Bigdata Developer
Global ERP Solutions
Mississauga, ON
Full-time
We are looking for an experienced Senior Big Data Engineer with strong expertise in Scala, Apache Spark, and Apache Kafka to design and build large-scale, high-performance data processing…
Added 9 hours ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 9 hours ago
Data Engineer
BMO
Toronto, ON · SCC
Full-time
Hands on experience with ETL/ELT development/testing and data warehousing concepts
Added 10 hours ago
Senior Developer Engineer/Leader
Xcelerated Consulting Group, LLC.
Montreal, QC
Contract
As a Senior Developer, you will serve as a technical leader and subject matter expert in the Regulatory Reporting framework. This in-house application ensures the firm meets its global…
Added 11 hours ago
Senior Full Stack Software Developer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
We're hiring a Senior Full Stack Software Engineer based in Toronto to build and ship production web applications that power Mecka’s global operations.
Added 12 hours ago
Data Platform Engineer
AgileGrid Solutions
Canada
Full-time
…and optimization of our enterprise data infrastructure. As a senior member of the data engineering team, you will be responsible for designing scalable data pipelines, developing ETL…
Added 15 hours ago
Senior Data Engineer
Style Analytics
Montreal, QC
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 16 hours ago
Senior Data Quality Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
We are looking for a Senior Data Quality Engineer to build and operate the testing and validation capabilities that ensure data delivered through our enterprise data platform is accurate,…
Added 23 hours ago
Director - Enterprise Data Warehouse and Data Platforms
CGI
Ottawa, ON
Full-time
We are seeking a Director, Consulting Expert (DCE) – Enterprise Data Warehouse & Data Platforms to provide senior technical, solutioning, and client facing leadership
Added 1 day ago
Software Tester
VySystems
Canada
Full-time
We are seeking a Senior Data Engineer with strong Quality Engineering (SDET) experience. The role is primarily focused on building and validating data solutions using Databricks, Python,…
Added 1 day ago
Business Systems Engineer Intern, Finance Technology (Summer 2027)
Lyft
Toronto, ON
$40 to $43 CAD / hour
We are seeking a motivated, technical student to join our Corporate FinTech team as a Business Systems Engineer Intern. This internship offers hands-on experience supporting the full suite…
Added 1 day ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)
Added 1 day ago
Senior Data Engineer
Tundra Technical Solutions
Toronto, ON
$70 to $77 CAD / hour
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We are seeking a highly skilled Senior Data Engineer to join our growing Data & AI Marketplace team. In this role, you will be responsible for designing, building, and optimizing scalable…
Added 1 day ago
Senior Data Engineer – Python
Citi
Mississauga, ON
Full-time
We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join our Engineering team. The ideal candidate is passionate about building robust, scalable…
Added 1 day ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
AWS Data Engineer – Banking / Financial Services
Added 1 day ago
Senior Data Engineer :Scala, Spark, Python, Hadoop, Databricks
TD
Toronto, ON
Full-time
As a Senior Data Engineer in the XVA and CCR data development team, you will be responsible for designing, building, and maintaining scalable data pipelines that power our analytics and…
Added 1 day ago
Sr. Consultant, Enterprise Data Analytics (Fixed Term - 20 Months)
CIBC
Toronto, ON
Full-time
As a Senior Consultant, Analytics Engineer you will be a key member of the Enterprise Data Engineering team. You need to be proficient in Databricks, Delta Lake for data management, SQL and…

Trisura

Senior Data Engineer - Toronto

Toronto, ON, Canada

Pay: The maximum potential base salary for this position is $125,000
Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

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Original job description

At Trisura, we expect more because we believe it can be done better.

We are a young, growth oriented team with a commitment to exceptional talent and have been named one of Canada’s Top Small and Medium Employers since 2017. Our growth and our entrepreneurial style, niche market position and development opportunities ensure that our people see the results of their commitment reflected in the company’s success.

We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.

SENIOR DATA ENGINEER

TORONTO

Position Overview

As a Senior Data Engineer on our Data & Analytics Team, you will be a hands-on technical leader responsible for designing, building, operating, and continuously improving scalable, secure, and reliable data solutions. The role will help modernize Trisura’ s data platform, enable trusted analytics and reporting, and establish engineering standards across ingestion, transformation, orchestration, deployment, monitoring, data quality, and documentation.

Working closely with Data & Analytics, application teams, architects, analysts, governance, and business stakeholders, the Senior Data Engineer will translate business requirements into reusable data products and production-grade solutions across Microsoft Fabric, Azure, SQL Server, Power BI, and related technologies.

What You Will Do

Design, build, test, deploy, and support scalable batch and near-real-time data pipelines for structured, semi-structured, and unstructured data using Microsoft Fabric, Azure Data Factory, SSIS, SQL Server, Azure SQL, cloud storage, and other enterprise data sources.
Develop modern data engineering solutions using Microsoft Fabric capabilities such as Lakehouse, Warehouse, OneLake, Copy Jobs, Notebooks, Dataflow Gen2, and related services, applying layered bronze/silver/gold architecture patterns where appropriate.
Develop robust, reusable ETL/ELT and data transformation solutions using T-SQL, Python, PySpark, and Spark SQL, including incremental loading, Change Data Capture (CDC), schema evolution, reconciliation, restart/recovery, idempotency, and error-handling patterns.
Design dimensional, relational, and Lakehouse data models that support analytics, operational and regulatory reporting, self-service analytics, and downstream system integrations.
Ensure production reliability by implementing monitoring, alerting, logging, data quality controls, reconciliation, metadata, lineage, auditability, and operational support procedures.
Optimize SQL, Spark, pipeline, and storage workloads for performance, scalability, reliability, and cost efficiency while applying security and privacy best practices, including least-privilege access, managed identities, service principals, secrets management, secure connectivity, and environment separation.
Implement source control, automated deployment, and CI/CD practices using Git, Azure DevOps, and Microsoft Fabric deployment capabilities, and participate in code reviews, testing, release planning, incident resolution, root-cause analysis, and post-implementation reviews.
Develop reusable engineering standards, frameworks, templates, patterns, and technical documentation to improve consistency, maintainability, and operational support across the data platform.
Partner with Power BI developers, analysts, business stakeholders, Data Governance, and other technology teams to translate business requirements into trusted, well-structured data solutions and clearly communicate dependencies, risks, and technical trade-offs.
Support the modernization and migration of legacy SSIS, SSRS, Azure Data Factory, SQL-based, and other data integration workloads to strategic cloud and Microsoft Fabric platforms.

What You Bring

Core Skills:

Strong ownership, accountability, and a focus on delivering reliable, maintainable data solutions.
Ability to lead technical design discussions, mentor other engineers, and promote engineering best practices.
Excellent written and verbal communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
Ability to thrive in a fast-paced environment, manage competing priorities, and independently drive work from requirements through production support.
A collaborative and customer-focused mindset when working with business stakeholders, analysts, developers, architects, vendors, and operational teams.
Strong analytical and troubleshooting skills with a focus on root-cause analysis, automation, and continuous improvement.

Technical Expertise

Advanced SQL and T-SQL skills, including complex querying, stored procedures, views, indexing, execution-plan analysis, performance tuning, and query optimization.
Strong Python skills for data engineering, automation, testing, API integration, and file processing, with hands-on experience in PySpark and Spark SQL preferred.
Hands-on experience with Microsoft Fabric and Azure data services, including Lakehouse, Warehouse, OneLake, Delta tables, pipelines, notebooks, Azure Data Factory, Azure SQL Database/Managed Instance, Azure Data Lake Storage, and Key Vault.
Strong understanding of modern data architecture and engineering patterns, including data warehousing, Lakehouse architecture, dimensional modeling, medallion architecture, ETL/ELT, incremental processing, and enterprise data integration.
Experience with Git-based source control, branching and pull-request practices, automated testing, CI/CD, and environment-specific configuration and deployment.
Experience designing secure data solutions using Microsoft Entra ID, managed identities, service principals, role-based access control, secrets management, and least-privilege principles.
Knowledge of data observability and governance practices, including logging, monitoring, alerting, pipeline metrics, reconciliation, metadata, lineage, data quality, retention, reference/master data, and audit requirements.
Working knowledge of Power BI and semantic model consumption patterns; experience with DAX is considered an asset.
Experience integrating enterprise databases, REST APIs, JSON, CSV, Parquet, Delta, SFTP, and other file-based or application data sources.
Experience with PostgreSQL and legacy Microsoft technologies such as SSIS and SSRS is an asset, particularly in modernization and migration initiatives.
Ability to develop clean, modular, testable, maintainable, and well-documented production-quality code.

Qualifications

Bachelor's degree, college diploma, or equivalent practical experience in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.
Minimum 5 years of progressive experience in data engineering, data integration, data warehousing, analytics engineering, or related roles, including ownership of production data solutions.
Demonstrated experience designing and delivering end-to-end data solutions rather than only developing individual ETL components or reports.
Demonstrated experience troubleshooting complex production data issues and improving platform reliability, performance, and maintainability.
Experience providing technical leadership, mentoring, code review, solution design, or engineering standards is strongly preferred.
Experience in Insurance or another regulated financial-services environment is strongly preferred.
Microsoft Fabric, Azure Data Engineer, Azure, Power BI, or related Microsoft certifications are considered an asset.

Location:

Downtown Toronto – Hybrid

Salary

The maximum potential base salary for this position is $125,000

This salary range reflects the expected base compensation for the role across Canada. Actual compensation will be determined based on factors such as experience, qualifications, and scope of responsibilities. Trisura provides this range in good faith in accordance with applicable legislation.

This position is for an existing, currently vacant position.

If you are looking for a career in an exciting and rewarding company, are driven to excel, thrive in a team environment and want to contribute to the success of an organization that values your contribution, we would like to hear from you!

We are committed to an inclusive and barrier-free workplace that reflects the diversity in each of our offices across Canada. Accommodations will be provided on request for candidates taking part in all aspects of our recruitment and selection process.

We thank all candidates for their interest however only those selected for an interview will be contacted.

Trisura, headquartered in the heart of Canada’s financial district, is a specialty lines insurer with a focus on Surety, Specialty Insurance, Property & Casualty, and Warranty products.

Trisura brings innovative solutions and expertise through a select network of both national and regional brokerage firms.

The company, founded in 2006, and operating across North America with offices in Toronto, Ottawa, Halifax, Montréal, Calgary, Vancouver, Stamford. Denver, Chicago, Philadelphia and Oklahoma City, is uniquely positioned to satisfy all varieties of risk in Contract, Commercial and Developer Surety, Directors' and Officers' Liability, Fidelity, and Professional Liability including Media Liability, as well as Warranty products.

trisura.com/careers

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More about this job

Responsibilities

Design, build, deploy, and support scalable, secure data pipelines and data products across Microsoft Fabric, Azure, SQL Server, and related platforms. Improve platform reliability, performance, governance, and engineering standards while partnering with analytics, application, architecture, and business teams.

Requirements

Requires a degree, diploma, or equivalent practical experience in a relevant field and at least five years of progressive experience in data engineering or a related discipline. Candidates should have strong SQL and Python skills, hands-on experience with Microsoft Fabric and Azure data services, and experience delivering production data solutions; technical leadership and regulated financial-services experience are preferred.

Skills

Microsoft Fabric
Azure Data Services
SQL
T-SQL
Python
PySpark
Spark SQL
ETL/ELT
Data Pipeline Engineering
Data Modeling
Azure Data Factory
SQL Server
Azure DevOps
Git
CI/CD
Power BI

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Azure
Azure Data Factory
Azure Data Lake Storage
Azure SQL
SQL Server
SSIS
SSRS
Power BI
T-SQL
Python
PySpark
Spark SQL
Lakehouse
OneLake
Delta Tables
ETL/ELT
Data Warehousing
Dimensional Modeling
Medallion Architecture
Change Data Capture
Git
Azure DevOps
CI/CD
Microsoft Entra ID
Managed Identities
Data Governance
Data Quality
Insurance
PostgreSQL

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