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Added 13 mins ago
Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Capital One
Toronto, ON
Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Added 2 hours ago
Lead Site Reliability Engineer - Database Management
SimCorp
Toronto, ON
Full-time
This role ensures a seamless onboarding experience for our clients on SimCorp’s SaaS platform. You will manage and troubleshoot Azure pipelines, align client requirements with PaaS…
Added 2 hours ago
Senior Software Developer - SQL/Python
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an experienced Senior Software Engineer to work within Wealth Management Global IT Data Services Canada - As a Senior Software Engineer, specializing in AI-driven agent…
Added 10 hours ago
Oracle EDQ Platform Engineer
Aptino, Inc.
Brampton, ON
$50 to $55 CAD / hour
Contract
We are looking for an experienced Oracle EDQ Platform Engineer to support the migration of Oracle Enterprise Data Quality (EDQ) from on-premises environments to Microsoft Azure Cloud.
Added 10 hours ago
Data Platform Engineer II
Spring Financial Inc.
Vancouver, BC
Full-time
As a Data Platform Engineer II at Spring, you are a hands-on builder who delivers reliable, scalable data infrastructure. You'll work across our core stack of AWS, Snowflake, dbt, and…
Added 11 hours ago
Data Platform Engineer II
Spring Financial
Vancouver, BC
Full-time
As a Data Platform Engineer II at Spring, you are a hands-on builder who delivers reliable, scalable data infrastructure. You'll work across our core stack of AWS, Snowflake, dbt, and…
Added 13 hours ago
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
Other
We are seeking a Senior Data Engineer with deep expertise in designing and delivering scalable, real-time streaming as well as batch data pipelines and solutions using modern data platforms…
Added 13 hours ago
Senior Data Engineer
Ardent SoftSol Inc.
Montreal, QC
Contract
We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Databricks, Python, and SQL to design, develop, and support modern cloud-based data platforms. The…
Added 16 hours ago
Sr. Data Engineer
Arkhya Tech. Inc.
Canada
Full-time
Hands on experience with a modern cloud data platform such as Snowflake or comparable platform.
Added 1 day ago
Principal Data Engineer - Canada
JobGet
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
As our Principal Data Engineer, you will help lead the technical direction for how data flows, scales, and powers every decision at JobGet. You’ll own the data architecture behind our…
Added 4 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
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 4 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 3 days ago
Senior Data Engineer
Boardwalk
Calgary, AB
Contract
The Senior Data Engineer provides architectural direction, technical leadership, and execution oversight for our core database modernization initiative. This role is responsible for shaping…
Added 11 days ago
Senior Software Developer - SQL/Python
RBC
Toronto, ON
Full-time
We are seeking an experienced Senior Software Engineer to work within Wealth Management Global IT Data Services Canada - As a Senior Software Engineer, specializing in AI-driven agent…
Added 8 days ago
Lead Full Stack Developer
RBC
Toronto, ON
Full-time
This engineer will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake,…
Added 6 days ago
Senior Manager, Engineering & Build
RBC
Toronto, ON
Full-time
Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark, Snowpipes), Spark, and dbt.
Added 8 days ago
Data Platform Engineering Manager
TD
Toronto, ON
Full-time
The Data Platform Engineering Manager role is responsible for designing, building, and operating the enterprise technology reference data platform that serves as the foundation for…
Added 3 days ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
Added 4 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
The Senior Data Engineer is responsible for designing, building, and operating reliable, scalable data pipelines and data products across a modern cloud data platform.
Added 4 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
The Senior Data Engineer is responsible for designing, building, and operating reliable, scalable data pipelines and data products across a modern cloud data platform.
Added 4 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
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 4 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 3 days ago
Senior AI Engineer
Raise
Calgary, AB
Full-time
The Senior AI Engineer in this role will design, test, and optimize AI-driven quality monitoring solutions for the Contact Centre. The resource will develop custom prompts and evaluation…
Added 3 days ago
Java Software Engineer
Randstad Enterprise
Montreal, QC
Full-time
We are seeking a Java Engineer in the Firm Market Risk Technology team, you will design, build, and optimize high-performance Java systems powering the Firm Market Risk Platform. In this…
Added 4 days ago
Data Engineer
Jim Peplinski Capital
Calgary, AB
Full-time
You will own JPC’s data platform end-to-end: the pipelines that move data, the warehouse where it lives, the shares that deliver it to customers, the governance that keeps it trustworthy,…

Synechron

Senior Data Engineer – Capital Markets

Mississauga, ON, Canada

Pay: In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $115k – CAD $130k/year & benefits (see below).
Job type: Full-time
Experience: 5+ years of experience in enterprise data management, data engineering, data warehousing, or large-scale data platform development.
Posting language: English
Posted: Sep 18, 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 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

Seeking a motivated, proactive, and reliable Data Engineer to join the Data Sourcing and Analytics team. This role will support the design, development, implementation, and ongoing enhancement of enterprise data solutions across cloud data platforms. The ideal candidate will bring strong SQL programming, Snowflake, Databricks, Spark, and Python development experience, along with the ability to analyze business requirements, translate them into scalable data solutions, and collaborate effectively with technology and business stakeholders. Experience in the finance or banking domain is a strong plus.

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 Mississauga, ON is CAD $115k – CAD $130k/year & benefits (see below).

The Role

Responsibilities:

Design, develop, and maintain scalable enterprise data warehouse, data lake, and cloud-based data engineering solutions.
Develop robust ETL/ELT pipelines and transformation routines using SQL, Snowflake, Databricks, Spark, Python, and related cloud data platform services.
Write, optimize, and troubleshoot complex SQL queries, stored procedures, and data transformation logic for large and complex datasets.
Create and maintain data mappings, source-to-target specifications, data lineage documentation, and transformation rules to support enterprise reporting and analytics needs.
Perform analysis and interpretation of business, functional, and technical requirements, and translate requirements into reliable data engineering designs.
Partner with business analysts, data architects, application teams, and reporting teams to understand data needs and deliver high-quality data solutions.
Support data modeling efforts, including dimensional modeling, fact and dimension design, data normalization, and fit-for-purpose analytical structures.
Perform testing, validation, reconciliation, performance tuning, and production support for data pipelines and analytical datasets.
Use modern engineering practices and productivity tools, including GitHub Copilot or similar AI-assisted development capabilities, to improve development efficiency and code quality.
Contribute to cloud data platform migration, modernization, and operational support initiatives across the enterprise data ecosystem.

Requirements:

5+ years of experience in enterprise data management, data engineering, data warehousing, or large-scale data platform development.
Strong SQL programming experience, including development of complex queries, stored procedures, performance tuning, data profiling, and reverse engineering of existing data processes.
Hands-on experience with Snowflake development and utilities such as SnowSQL, time travel, metadata management, data sharing, and query optimization.
Hands-on experience with Databricks and Spark programming for large-scale distributed data processing, transformations, and analytical workloads.
Strong Python programming experience for data processing, automation, API integration, scripting, and pipeline development.
Experience with data modeling concepts, including OLTP, OLAP, dimensional modeling, facts, dimensions, and enterprise analytical data structures.
Experience creating data mappings, source-to-target specifications, transformation logic, and documentation to support downstream reporting and analytics.
Ability to analyze and understand business, functional, and technical requirements and convert them into scalable, maintainable data solutions.
Working knowledge of cloud-based data architecture, messaging patterns, analytics platforms, and modern data engineering design principles.
Experience supporting testing, validation, reconciliation, defect resolution, deployment, and production support for enterprise data solutions.
Familiarity with AI-assisted development tools such as GitHub Copilot and the ability to use them responsibly to improve productivity, code quality, and documentation.
Proactive self-learner with a strong commitment to quality, ownership, and accountability, with the ability to plan work effectively and deliver assignments according to agreed delivery dates.
Superior communication, analytical, and problem-solving skills, with the ability to work effectively across business and technology teams.
Minimally a BA degree within an engineering and/or computer science discipline

Preferred, but not required:

Experience in the finance or banking industry, including familiarity with securities, banking products, regulatory reporting, risk, accounting, or data footprints associated with financial instruments.
Prior experience contributing to an enterprise-wide cloud data platform migration or modernization initiative.
Cloud certification, Snowflake certification, Databricks certification, or related data engineering certification.
Motivated, proactive, dependable, and reliable professional with a strong sense of ownership and accountability.

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.

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.

Candidate Application Notice

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More about this job

Responsibilities

Design, develop, and maintain scalable enterprise data warehouse and cloud-based data engineering solutions. Partner with cross-functional teams to translate business requirements into reliable data pipelines and analytical structures.

Requirements

Requires at least 5 years of experience in enterprise data management and strong proficiency in SQL, Snowflake, Databricks, and Python. A bachelor's degree in engineering or computer science is required.

Skills

SQL
Snowflake
Databricks
Spark
Python
ETL/ELT pipelines
Data warehousing
Data modeling
Cloud data platforms
Data lineage
Performance tuning
API integration
Dimensional modeling
GitHub Copilot
Data engineering

Benefits

Paid annual leave
Personal leave
Medical insurance
Dental insurance
Vision insurance
Life insurance
Long-term disability insurance
RRSP with employer contribution
Higher education certification policy
Udemy for Business access
Coaching opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Databricks
Spark
Python
SQL
ETL
ELT
Cloud Data Platforms
Data Warehousing
Data Lake
Dimensional Modeling
Data Lineage
GitHub Copilot
Capital Markets
Finance
Banking
API Integration
Data Profiling
Performance Tuning
OLTP
OLAP
Enterprise Data Management
Data Transformation
Cloud Migration

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