Data engineer jobs in Mississauga, ON and nearby

Within 25 km

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Added 18 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 19 days ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
Must have a valid passport to travel within Canada and globally
Added 19 days ago
H
AWS Data Engineer
HCLTech
Toronto, ON
- Full-time
🚀 Hiring: Fulltime AWS Data Engineer | 5+ Years Experience
Added 19 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
Must have: SQL+ Datawarehouse+ Banking domain
Added 19 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 19 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
A MarTech/AdTech Engineer with strong experience in Retail Media Networks, Advertising Platforms, Cloud Data Engineering, Salesforce Marketing Technologies, Snowflake/Databricks, Identity…
Added 19 days ago
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Senior DataOps / Cloud Data Engineer
Joblinxsapp
Toronto, ON
- Full-time
Work Arrangement: 100% Onsite – 5 days per week
Added 19 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Added 19 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
We are looking for an experienced GCP Data Engineer (5+ years) with expertise in:
Added 19 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Must have : SQL+ Datawarehouse+ Banking domain
Added 19 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON
A minimum of 5-8 years of relevant experience as a data engineer is required. This includes experience in data engineering, data system development, or related roles, with demonstrated…
Added 19 days ago
TC
Azure Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Experience working as a Data Engineer with focus on big data processing and/or relational databases with good understanding of SQL
Added 20 days ago
P
DataOps/Cloud Data Engineer
ProxyLink
Toronto, ON
- $95 to $100 CAD / hour
- Contract
Work Arrangement: Onsite, five days per week, Monday to Friday
Added 20 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
LI
DataOps/Cloud Data Engineer
Lotus IT Solutions
Toronto, ON
- Contract
This is a fully onsite position, five days per week, based at 595 Bay St., Toronto
Added 20 days ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
Hiring: Senior Data Engineer – Capital Markets
Added 20 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 20 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Added 20 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 20 days ago
MI
DataOps/Cloud Data Engineer - Senior
Maarut Inc
Toronto, ON
- Contract
Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.
Added 20 days ago
EC
Data Engineer
Experis Canada
Toronto, ON
- Contract
- Azure Data Lake Storage (ADLS) and Azure Data Factory (ADF).
Added 20 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Toronto, ON
- Contract
Senior Data Engineer - Databricks, Microsoft Fabric:
Added 20 days ago
IS
AWS Data Engineer (CDK
Iris Software Inc.
Toronto, ON
- Full-time
…and financial services corporation is looking to hire an AWS Data Engineer (CDK) Our direct client is a is a world-leading financial services company, provides consumers, corporations,…

Gore Mutual Insurance

Lead Data Engineer

Toronto, ON, Canada
Cambridge, ON, Canada

The expected base salary range for this position is $91,500 - $147,500.

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: The expected base salary range for this position is $91,500 - $147,500.
Experience: A minimum of 5-8 years of relevant experience as a data engineer is required.
Posting language: English
Posted: Oct 22, 2026

Original job description

At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company - and our industry - for the better.

Effective January 1, 2026, Gore has joined Beneva - the country’s largest mutual insurance company - as part of its Property & Casualty operations in Ontario and Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a stronger, more diversified mutual insurer with greater scale and long-term stability.

Every decision and investment remains anchored in long-term benefits to customers, members, and communities. Come join us.

This position requires a strong technical background and is responsible for designing, developing and maintaining scalable data infrastructure on the Databricks lakehouse, the enterprise single source of truth. It plays a pivotal role in enabling data-driven decision making across the enterprise and in providing technical leadership to the data engineering team, with a focus on delivering business value. This role requires close collaboration with cross-functional stakeholders, IT and data science teams.

What will you do in this role:

Data Modelling, Infrastructure and Design

Develop and maintain scalable, reliable, and resilient systems to evolve and mature our data infrastructure and tech stack.
Develop configuration driven, scalable, efficient, and robust data pipelines spanning policy, billing, claims and finance data to support reporting, pricing and analytics.
Develop and implement data quality checks within pipelines to ensure the integrity and accuracy of incoming data.

Data Strategy

Collaborate with cross-functional teams, including data scientists, data product owners, and business stakeholders to understand their data requirements, prioritize work by business value, and deliver high-quality data pipeline solutions, including build-versus-buy recommendations where appropriate.

Automating Data Management Processes and Handling Data Security

Automate data management processes and handle data security.
Ensure that security protocols and best practices are in place to protect against potential security threats.

Testing and Optimizing Data Platform

Optimize data pipelines to ensure efficient data flow.
Ensure that the data extracted from sources is accurate, complete, and usable. This might involve checking for missing values, inconsistent formats, or anomalies that could indicate errors.
Test the efficiency and speed of data pipelines and databases. This can help identify bottlenecks and optimize performance.
Verify that different components of the data infrastructure work together as expected. This includes checking that data flows correctly from sources to databases, and from databases to applications.

Maintenance of Data Platform

Regularly check the health and performance of the data platform. This can involve tracking metrics like query times, error rates, and resource usage.
Identify and resolve issues that arise in the data platform. This can involve debugging code, optimizing queries, or adjusting configurations.
Keep the data platform and engineering practices up to date with the latest technologies and security patches, including AI-assisted development (coding agents, context engineering and agent skills) where it improves delivery and quality.
Implement strategies to protect data from loss or corruption. This can involve regular backups, redundancy measures, and disaster recovery plan

What you need to succeed in this role:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering or a related field.
A minimum of 5-8 years of relevant experience as a data engineer is required. This includes experience in data engineering, data system development, or related roles, with demonstrated ownership of initiatives end to end and experience mentoring other engineers.
Strong understanding of data structures, data modeling, and software architecture, with sound judgment on when to build and when to buy.
Deep, hands-on knowledge of Azure Databricks (Unity Catalog, Delta Lake, Lakeflow/Jobs, compute and cost optimization) and related Microsoft Azure services (DevOps, Azure Storage, Key Vault, etc.)
Strong problem-solving and critical-thinking abilities, with a high sense of ownership and a focus on delivering business value and return on investment.
Experience with software design patterns, test-driven development (TDD), CI/CD and operating data pipelines as production systems (data quality, observability, incident response).
Proficiency in Python, including a strong grasp of Object Oriented and Functional programming paradigms.
A solid understanding of Spark concepts and distributed systems, including data transformations, DataFrames, and Spark SQL; experience with dbt and Airflow is an asset.
Excellent SQL skills and expertise in database management and tuning.
Hands-on experience with coding agents, context engineering and the agent skill development lifecycle, and continuous learning on the latest advancements in Azure Databricks and data engineering.
Strong communication and collaboration skills, including mentoring and growing other engineers.

The expected base salary range for this position is $91,500 - $147,500. Depending on your relevant experience, skills, qualifications, market conditions and business needs, base compensation may vary. You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

Please note: This range reflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process, we will discuss and consider how your unique qualifications align with the broader range for this position.

Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.

This posting pertains to an existing vacancy that is actively being filled.

Accessibility for applicants

Gore Mutual Insurance Company is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process.

If you require accommodation because of a disability, we will work with you to meet your needs. Contact us and a human resources representative will consult with you to determine an appropriate accommodation.

Should you request an accommodation during the interview process, please notify your Talent Acquisition Consultant.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

The Lead Data Engineer is responsible for designing, developing, and maintaining scalable data infrastructure on the Databricks lakehouse. This role involves leading the data engineering team, collaborating with cross-functional stakeholders, and ensuring the integrity and security of enterprise data pipelines.

Requirements

Candidates must possess a Bachelor’s or Master’s degree in a relevant field and 5-8 years of experience in data engineering. Strong hands-on expertise in Azure Databricks, Python, SQL, and software architecture is required, along with proven leadership and mentoring capabilities.

Skills

Data engineering
Azure Databricks
Python
SQL
Data modeling
Spark
Delta Lake
CI/CD
Test-driven development
Data infrastructure
Cloud security
Distributed systems
Data pipelines
Mentoring
Communication
Problem-solving

Benefits

Extended health benefits
Dental benefits
Disability insurance
Retirement plan matching
Paid time off
Recognition programs
Perk programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure Databricks
Unity Catalog
Delta Lake
Lakeflow
Azure
DevOps
Python
Spark
Spark SQL
dbt
Airflow
Data Modeling
CI/CD
TDD
Data Quality
Observability
Object Oriented Programming
Functional Programming
Distributed Systems
Coding Agents
Context Engineering
Data Infrastructure
Insurance
Data Science
Cloud Security
Database Management
Performance Tuning
Data Pipelines
Software Architecture

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