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Added 15 days ago
Senior Manager, Data & Analytics
Nicola Wealth
Toronto, ON · Vancouver, BC · Calgary, AB
Reporting to the Vice President, Marketing & Communications, the Senior Manager, Data & Analytics owns Nicola Wealth’s marketing measurement and insights engine, turning data, analytics and…
Added 15 days ago
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Business Information Management Specialist
TD
Toronto, ON
- Full-time
Advanced proficiency in SQL and Python for data analysis, profiling, reconciliation, validation, and investigation of complex data issues.
Added 15 days ago
K
Senior Analytics Engineer - Finance
Kraken
Canada
- Full-time
Strong SQL and Python skills, including writing, debugging and maintaining production code.
Added 15 days ago
L
Quality Engineer
LTM
Mississauga, ON
- $84,238 to $103,554 CAD / year
- Full-time
…quality Utilize Playwright testing frameworks in Java C and Python to automate test scenarios Perform accessibility testing to ensure compliance with standards Conduct API and microservices…
Added 15 days ago
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Senior Quality Engineer
LTM
ON · Ontario, Canada
- $84,238 to $103,554 USD / year
- Full-time
…quality Utilize Playwright testing frameworks in Java C and Python to automate test scenarios Perform accessibility testing to ensure compliance with standards Conduct API and microservices…
Added 15 days ago
NT
Senior MLOps Engineer
Nöord Technologies
Montréal-Est, QC
- Full-time
API Development & Python Engineering: Design and develop REST and MCP APIs, alongside senior-level Python development across the full data and ML stack.
Added 15 days ago
GT
Senior Business Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $70 to $85 CAD / hour
- Contract
Data and APIs: Perform data analysis using SQL, contribute to API specifications (REST/JSON), and support integration efforts with internal and external platforms.
Added 15 days ago
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Business Systems Developer
Grantek
Burlington, ON
- Full-time
…off their careers at Grantek and have grown into successful senior team members who are integral to our client's manufacturing…
Added 15 days ago
NP
Senior Manager, Gas Origination
Northland Power Inc.
Toronto, ON
- Full-time
As Senior Manager, Gas Origination, you will build and lead Northland’s in-house gas commercial capability. You will secure and optimize gas supply, transportation and storage for…
Added 15 days ago
LM
Associate Software Developer (Node.js & Python)
Liberty Mutual Canada
Toronto, ON
- $65,000 to $75,000 CAD / year
- Full-time
We are seeking a motivated Associate Developer to join the Mighty Moose team, focused on API integrations and LLM-powered applications. Working under the guidance of senior developers, you…
Added 15 days ago
TI
Senior DataOps / Cloud Data Engineer
Teckhorizon Inc
Toronto, ON
- Contract
The client is seeking a highly experienced Senior DataOps / Cloud Data Engineer to design, develop, automate, optimize, and maintain enterprise-scale data pipelines and cloud-based data…
Added 15 days ago
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Senior Software Developer
Bevertec
Toronto, ON
- Contract
Added 15 days ago
SI
Senior Quality Engineer
Siri InfoSolutions, Inc.
ON · Ontario, Canada
- Contract
Hiring: Senior Quality Engineer – Test Automation
Added 15 days ago
C
Senior Consultant, Business System Analysis
CIBC
Toronto, ON
- Full-time
As part of the CIBC’s Global Asset Management Technology team, the Senior Consultant, Business Systems Analysis will be responsible for providing advice and consultation for business…
Added 15 days ago
Senior Manager, Digital Channel Performance
Scotiabank
Toronto, ON
As the Senior Manager, Digital Channel Performance, you will lead the planning, measurement, management, and optimization of digital sales and channel performance across assigned Canadian…
Added 15 days ago
A
Senior Manager, Forward deployed Decision Scientist
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
Proficiency in Python and SQL, with experience using relevant statistical and machine learning libraries.
Added 15 days ago
SE
Senior AI Data Engineering Specialist
Schneider Electric
Montreal, QC
- Full-time
Proficiency in building reliable data pipelines using Python, SQL, or comparable technologies.
Added 15 days ago
RB
Associate Director, Market Risk Stress Testing
Royal Bank of Canada
Toronto, ON
- Full-time
Detailed knowledge of MS Excel, SQL, and Python
Added 15 days ago
F
Senior Software QA Specialist – FortiGate Cloud
Fortinet
Burnaby, BC
- Full-time
…devices, and data everywhere. We are currently seeking a dynamic Senior Software QA Specialist to contribute to the success of our rapidly growing…
Added 15 days ago
R
Associate Director, Market Risk Stress Testing
RBC
Toronto, ON
- Full-time
Detailed knowledge of MS Excel, SQL, and Python
Added 15 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Write and review production-grade transformation logic in T-SQL, Spark SQL and Python/PySpark.
Added 15 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Write and review production-grade transformation logic in T-SQL, Spark SQL and Python/PySpark.
Added 15 days ago
LI
Sr. Data Engineer
Livingston International
Toronto, ON
- Full-time
6 years of related experience. Strong proficiency in SQL and other programming languages commonly used in data engineering (e.g., Python, Apache).
Added 15 days ago
TI
Senior Data Developer
TS Imagine
Montreal, QC
- Full-time
As a Senior Data Engineer, you will own production data systems built with Snowflake, dbt, SQL, and Python. You will help modernize established pipelines, improve the platform’s shared…
Added 15 days ago
SE
Senior AI Data Engineering Specialist
Schneider Electric
Montreal, QC
- $114,750 to $162,000 CAD / year
- Full-time
Proficiency in building reliable data pipelines using Python, SQL, or comparable technologies.

Kraken

Senior Analytics Engineer - Finance

Canada

Full-time

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Job details

Job type: Full-time
Experience: 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams.
Posting language: English
Posted: Oct 16, 2026

Original job description

Building the Future of Open Finance

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.

Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.

The team

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process.

Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.

The opportunity

You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption.
Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions.
Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling.
Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions.
Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress.
Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems.
Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks.
Improve data timeliness, enabling near-real-time insights where they add business value.
Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.

What You Bring

7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams.
Strong SQL and Python skills, including writing, debugging and maintaining production code.
Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation.
Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools.
Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders.
A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve.
Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes.
Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation.
Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.

Nice to haves

Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations.
Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Our commitment

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

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More about this job

Responsibilities

Build and operate reliable finance data pipelines, models, automated reconciliations, reporting workflows, and dashboards, with clear controls, monitoring, and exception handling. Partner with Finance, Accounting, Data Engineering, and Product teams to resolve data issues, improve close processes, and deliver trusted, timely financial insights.

Requirements

Requires 7+ years of data analytics and data management experience in financial services or another regulated industry, working directly with Finance teams, plus strong SQL and Python skills. Candidates should have production software engineering experience and hands-on pipeline and modeling expertise, including finance or accounting data, reconciliations, and recurring financial close activities.

Skills

SQL
Python
Git
Code Reviews
Software Engineering
Testing
Documentation
dbt
Spark
Airflow
Financial Data Management
Accounting Data
Financial Reconciliations
Data Pipelines
Data Modeling
AI-Assisted Automation

Visa sponsorship

Not detected in the job text

Keywords

Finance Data Engineering
Analytics Engineering
SQL
Python
Git
Merge Requests
Code Reviews
Testing
Documentation
dbt
Spark
PySpark
Airflow
Data Pipelines
Data Modeling
Financial Data Lake
Financial Reconciliations
Subledgers
Cost Basis
Month-End Close
Financial Reporting
Dashboards
Data Quality
Data Monitoring
Exception Handling
Workflow Automation
AI-Assisted Automation
Digital Assets
Financial Services

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