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Added 1 month ago
M
Manager, Software Engineering (Sanction Service)
Mastercard
Vancouver, BC
- Full-time
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can…
Added 1 month ago
E
Vice President, Quality Assurance
Explorance
Montreal, QC
- Full-time
…scalable, and high-performing SaaS products. You will work closely with executive leaders across Engineering, Product, CloudOps, Security, and other functions to ensure quality is embedded…
Added 1 month ago
Dynamics / Power platform engineer
Capgemini
Montreal, QC
Experience with full lifecycle application testing, including functional, regression, performance, and integration testing.
Added 1 month ago
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Senior Data Platform Developer
Dialogue
Toronto, ON · Montreal, QC
- $105,000 to $135,000 CAD / year
Own the full lifecycle. Operate in a full DevOps model - development, testing, operations, observability and support for the systems you build. Participate in code reviews and technical…
Added 1 month ago
T
SQL Developer / Data Engineer
TD
Toronto, ON
- Full-time
Experience with CI/CD pipelines, DevOps practices, and automated testing frameworks.
Added 1 month ago
M
Enterprise Content Management (ECM) Business Systems Analyst
McKesson
Mississauga, ON
- Full-time
· Partner with architects, developers, vendors, ERP teams, and integration partners to evaluate options, identify dependencies, and maintain traceability through design, build, testing,…
Added 1 month ago
SA
Applications Product Owner
Stelumar Advanced Manufacturing Inc.
Canada
- Full-time
This role offers the opportunity to help shape the digital backbone of an advanced manufacturing start-up, with a particular focus on scalability and efficiency. The Applications Product…
Added 1 month ago
S
Python Developer – Data Engineer
Synechron
Toronto, ON
- $100,000 to $125,000 CAD / year
- Full-time
…end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through…
Added 1 month ago
FS
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The Senior DevOps Engineer - Digital Platforms is a senior, hands-on technical role accountable for advancing the reliability, scalability, security, performance, and operational maturity…
Added 1 month ago
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Senior Software Engineer
AspiringIT
Kitchener, ON
- Full-time
The successful candidate will work on software architecture, backend applications, APIs, data-intensive systems, cloud platforms, system integration, testing, and performance optimization.
Added 1 month ago
S
Python Developer
Synechron
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
…end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through…
Added 1 month ago
MR
Application Support Analyst
MHI RJ Aviation Group
Mississauga, ON
- Full-time
You have experience with Azure Cloud, Azure DevOps, Azure App Services and other Azure tools and infrastructure
Added 1 month ago
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Senior Developer
Pet Valu
Markham, ON
- Full-time
We are seeking a seasoned and forward-thinking Senior Applications Developer with deep expertise in cloud-native application development, particularly within the Microsoft Azure ecosystem.…
Added 1 month ago
M
Business Analyst, Digital Workplace
McKesson
Mississauga, ON
- Full-time
Familiarity with Agile delivery, backlog refinement, Jira, Azure DevOps, or similar work management tools.
Added 1 month ago
S
Semantic Model Developers
Synechron
Mississauga, ON
- Full-time
…end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through…
Added 1 month ago
FF
Quality Assurance Engineer Co-op Student (4-month contract)
Foresters Financial
Toronto, ON
- Full-time
Work with the DevOps team to incorporate test scripts into the CICD pipelines.
Added 1 month ago
S
Calypso QA Automation Engineer
Synechron
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
…end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through…
Added 1 month ago
C
Staff Software Developer, iOS - Connected TV
CNN
Ottawa, ON · Kanata, ON
- Full-time
…platforms, supporting mobile backend APIs, mobile CI/CD tools, and testing automation. You ensure technical execution and release of CNN’s mobile apps to end consumers. You also partner…
Added 1 month ago
Software Engineer
Dye & Durham Talent Team
Toronto, ON
…used by customers across multiple markets. Working closely with Product, Design, Quality Assurance, DevOps and fellow engineers, you will help deliver high-quality product features, improve…
Added 1 month ago
Quality Assurance Analyst
Richardson Wealth Ltd
Toronto, ON
…and third-party products. The analyst will apply risk-based testing, critical thinking, and strong analysis throughout the delivery lifecycle, working closely with product owners, business…
Added 1 month ago
T
Software Engineer III (Full Stack/API Integration)
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 1 month ago
Senior Software Engineer
Bentley Systems
Quebec, QC
Experience with automated testing, CI/CD pipelines, and modern DevOps practices.
Added 1 month ago
Principal Software Engineer, (Adobe - AEM)
DEPT®
Canada
Protect quality early: Partner with QA and DevOps on automated testing, build gates, security, accessibility, performance, observability, and deployment readiness.
Added 1 month ago
BT
SENIOR NETWORK INFRASTRUCTURE SPECIALIST
Buchanan Technologies
Brampton, ON
- Full-time
Collaborates with subject matter experts across various IT disciplines to design comprehensive, coherent, and efficient solutions that meet the design criteria of different business units.…
Added 1 month ago
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Intermediate AWS Developer, Wealth Management Technologies
BMO
Toronto, ON · BMOPLACE
- Full-time
Experience with Git, CI/CD pipelines, and automated testing frameworks such as Jest.

Synechron

Python Developer – Data Engineer

Toronto, ON, Canada

$100,000 to $125,000 CAD / year · Full-time

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Job details

Pay: $100,000 to $125,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Sep 29, 2026

Original job description

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

We are seeking a skilled Python Developer – Data Engineering to join our data engineering team. In this role, you will design, develop, and maintain high-performance data processing pipelines using modern Python frameworks and tools.

You will work with large-scale datasets, containerized applications, distributed computing platforms, messaging systems, and analytical databases to deliver scalable, reliable, and efficient data solutions.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD $100K - CAD $125K/year & benefits (see below).

The Role

Responsibilities:

Develop and optimize data manipulation and transformation workflows using pandas and Polars.
Design, build, and maintain efficient data processing pipelines for large-scale datasets.
Optimize Python code and data workflows for performance, scalability, and memory efficiency.
Develop containerized applications using Docker and deploy scalable services using Kubernetes.
Build and maintain data pipelines integrated with ClickHouse or similar columnar databases for analytical workloads.
Design and implement event-driven architectures using NATS for asynchronous data processing and messaging.
Develop distributed computing solutions using Dask to process datasets that exceed single-machine memory limitations.
Write and maintain comprehensive unit and integration tests using pytest.
Maintain high code quality, test coverage, reliability, and performance standards.
Use Git for version control and follow established branching, code review, and collaboration practices.
Collaborate with data engineers, software developers, DevOps teams, and other stakeholders to deliver reliable data solutions.
Troubleshoot production issues and support the continuous improvement of data engineering processes.

Requirements:

Bachelor’s degree in computer science or Diploma in IT with equivalent experience.

Python and Data Processing

Advanced proficiency in Python.
Strong experience with pandas and Polars for data manipulation, transformation, and analysis.
Experience working with large datasets and optimizing code for performance and memory usage.
Strong understanding of Python development best practices, object-oriented programming, and clean code principles.

Containerization and Orchestration

Hands-on experience building and managing container images using Docker.
Experience creating and maintaining multi-container applications.
Working knowledge of Kubernetes for container orchestration, deployment, scaling, and service management.

Data Infrastructure

Experience with ClickHouse or a similar columnar database.
Understanding of OLAP workloads, analytical queries, data modeling, and query optimization.
Experience designing data pipelines for analytical and reporting use cases.

Messaging and Streaming

Familiarity with NATS.io and message-driven architectures.
Understanding of asynchronous processing, event-driven systems, messaging patterns, and distributed workflows.

Testing and Quality Assurance

Proficiency with pytest.
Experience writing unit tests, integration tests, and regression tests.
Understanding of test coverage, mocking, test automation, and quality assurance practices.

Distributed Computing

Experience with Dask for parallel processing and out-of-core computation.
Understanding of distributed data processing and techniques for handling datasets that exceed available system memory.

Version Control

Strong command of Git, including branching strategies, pull requests, code reviews, merging, and conflict resolution.
Experience collaborating through shared code repositories and following software development best practices.

Preferred skills:

Experience with additional Python libraries for data science, analytics, or machine learning.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with cloud platforms and cloud-based data engineering solutions.
Knowledge of data orchestration tools and workflow scheduling platforms.
Experience working with financial services, capital markets, trading, or other high-volume data systems.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

We offer:

A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
Flexible hybrid policy.
RRSP with employer’s contribution up to 4%.
A higher education certification policy.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
A truly diverse, fun-loving and global work culture.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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More about this job

Requirements

Requires advanced Python proficiency, strong experience with pandas and Polars, and practical knowledge of Docker, Kubernetes, ClickHouse or a similar columnar database, NATS, Dask, pytest, and Git. A bachelor’s degree in computer science or an IT diploma with equivalent experience is required, along with experience optimizing large-scale data processing for performance and memory efficiency.

Skills

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS
Dask
Pytest
Git
Data Pipeline Development
Distributed Computing
Data Modeling
OLAP
Performance Optimization
Event-Driven Architecture

Benefits

Paid Annual Leave
Personal Leave
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Long-Term Disability Insurance
Hybrid Work Policy
RRSP With Employer Contributions Up To 4%
Higher Education Certification Policy
Udemy For Business Access
Coaching And Mentoring Opportunities
International Work Opportunities
Learning And Development Programs

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS
Dask
Pytest
Git
Data Engineering
Data Processing Pipelines
Large-Scale Datasets
Distributed Computing
Out-Of-Core Computation
Columnar Databases
OLAP
Analytical Queries
Data Modeling
Query Optimization
Event-Driven Architecture
Asynchronous Processing
Message-Driven Architecture
Unit Testing
Integration Testing
Regression Testing
CI/CD
DevOps
Cloud Platforms
Financial Services

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