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Synechron

Python Developer

Toronto, ON, Canada

Pay: $100,000 to $110,000 CAD / year
Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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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 17000+, and has 58 offices in 22 countries within key global markets.

Our challenge:

We are seeking a skilled Python Developer to join our data engineering team. You will design, develop, and maintain high-performance data processing pipelines using modern Python frameworks and tools. In this role, you'll work with large-scale datasets, containerized systems, and distributed computing platforms to deliver robust data solutions.

The Role

Responsibilities:

Develop and optimize data manipulation workflows using pandas and polars to handle large datasets efficiently.
Design and implement containerized applications using Docker and Kubernetes to ensure scalable, reliable deployments.
Build and maintain data pipelines integrating with ClickHouse columnar databases for analytical workloads.
Develop event-driven architectures using NATS messaging systems for asynchronous data processing.
Write comprehensive unit tests using pytest to ensure code quality and reliability.
Implement distributed computing solutions with Dask for processing data beyond single-machine memory constraints.
Manage version control using Git and collaborate on code repositories following best practices.

Requirements:

You are:

Python & Data Processing: Advanced proficiency in pandas and polars for data manipulation, transformation, and analysis. Experience optimizing code performance for large datasets.
Containerization & Orchestration: Hands-on experience with Docker for building container images and composing multi-container applications. Knowledge of Kubernetes for container orchestration and deployment management.
Data Infrastructure: Working knowledge of ClickHouse or similar columnar databases for OLAP workloads and analytical queries.
Messaging & Streaming: Familiarity with NATS.io for building message-driven systems and asynchronous workflows.
Testing & Quality Assurance: Proficiency with pytest for writing unit tests, integration tests, and maintaining code coverage standards.
Distributed Computing: Experience with Dask for parallel processing and handling out-of-core computations.
Version Control: Strong command of Git workflows, branching strategies, and collaborative development practices.

Nice-to-have:

It would be great if you also had:

Experience with additional Python libraries for data science and machine learning.
Familiarity with CI/CD pipelines and DevOps practices.
Background in financial services or capital markets data systems.

We can offer you:

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 to fit your schedule
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 Centre 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

SYNECHRON’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.

Apply About employer

More about this job

Responsibilities

Develop and optimize high-performance data processing workflows and pipelines using Python, pandas, polars, ClickHouse, and Dask. Build containerized and event-driven applications, write tests, and collaborate through Git-based development practices.

Requirements

Candidates should have advanced Python data-processing skills, including pandas and polars, and experience optimizing large-scale workloads. They should also be familiar with Docker, Kubernetes, ClickHouse or similar analytical databases, NATS, pytest, Dask, and collaborative Git workflows.

Skills

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS
Pytest
Dask
Git
Data Pipelines
Distributed Computing
Data Processing
Unit Testing
Containerization
Performance Optimization

Benefits

Paid Annual Leave
Personal Leave
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Long-Term Disability Insurance
Flexible Hybrid Work Policy
RRSP With Employer Contributions
Higher Education Certification Policy
Udemy for Business Access
Coaching and Mentoring Opportunities
International Work Opportunities
Learning and Development Programs
Internal Mobility Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS
Pytest
Dask
Git
Data Engineering
Data Processing Pipelines
Large-Scale Datasets
Distributed Computing
Out-Of-Core Computing
Containerization
Event-Driven Architecture
Asynchronous Processing
Columnar Databases
OLAP
Unit Testing
Integration Testing
Code Coverage
Performance Optimization
CI/CD
DevOps
Data Science
Machine Learning
Financial Services
Capital Markets

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