Jobs in Canada

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Added 1 month ago
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Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform…
Added 1 month ago
ZC
Automation Engineer
Zurich Canada
Toronto, ON
- Full-time
Zurich Canada is currently looking for an Entry-Level Automation Engineer to join our technology team. This is an exciting opportunity for an early-career technology professional who is…
Added 1 month ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions for our clients. You will work across diverse projects, collaborating with…
Added 1 month ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise-wide strategic initiatives. This…
Added 1 month ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise wide strategic initiatives.…
Added 1 month ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 1 month ago
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Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
Proficiency with tools such as Python, SQL, Power BI, and Tableau
Added 1 month ago
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Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Hybrid: 3 days in office, Mississauga, Ontario
Added 1 month ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Hybrid: 3 days in office, Mississauga, Ontario
Added 1 month ago
CT
Data Engineer, Enterprise Data, Insights & Analytics
Canadian Tire Corporation
Toronto, ON
- Full-time
As a Data Engineer, Enterprise Data, Insights & Analytics, you will design, build, and maintain scalable data pipelines that support accurate, timely financial reporting and analytics. This…
Added 1 month ago
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Senior Software Engineer, Device & Data Platform
Mecka
Richmond Hill, ON
- $180,000 to $210,000 CAD / year
- Full-time
5+ years of software engineering experience, including strong backend programming and operating production services in a language such as Python, Go, or TypeScript.
Added 1 month ago
Senior Data Warehouse Engineer
Capgemini
Montreal, QC
We are seeking a experienced and results-oriented Senior Data Warehouse Engineer to work our data warehouse modernization and performance optimization initiatives. The ideal candidate will…
Added 1 month ago
MP
Lead Data Engineer - Temporary Assignment up to 18 months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Become a Lead Data Engineer - Temporary Assignment up to 18 months with MPAC
Added 1 month ago
HP
Sr Manager, Business Analytics
Hill's Pet Nutrition
Toronto, ON
- $143,100 to $166,950 CAD / year
- Full-time
…machine learning algorithms, and data modeling techniques using Python, R, and SQL to address key business…
Added 1 month ago
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Senior Analytics Engineer
Lime
Remote, Canada
- $100,000 to $138,000 CAD / year
- Full-time
- Remote
SQL & Python: expert-level, high-performance SQL, plus strong Python for transformation, tooling, and automation. You can develop and debug complex transformations and explain why they…
Added 1 month ago
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Senior Application Support Engineer (m/f/d)
Solactive
Toronto, ON
- Full-time
Execute database changes and optimise SQL queries.
Added 1 month ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 1 month ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
The Applied AI Software Engineer is a hands-on technical role responsible for designing, building, testing, deploying, and supporting secure, reliable artificial intelligence solutions…
Added 1 month ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
As a senior member of the Service Monitoring Systems team, you will be responsible of the planning, design, deployment and operational support of advanced monitoring solutions across…
Added 1 month ago
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Senior QA Automation – SDET
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior QA Automation Engineer to join our growing Quality Engineering team. This is a hands-on role for a quality engineering professional with strong…
Added 1 month ago
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Canada | Toronto | Global Technology Summer Analyst - Software Engineer | 2027
Bank of America
Toronto, ON
- Volunteer
Eligible candidates must have a graduation timeframe between November 2027 and August 2028
Added 1 month ago
TI
2027 Accelerated Development Program - BrainBox AI
Trane Italia
Montreal, QC
- Full-time
Une présence physique à votre lieu de travail assigné est requise 5 jours par semaine
Added 1 month ago
AI
Senior Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
Added 1 month ago
AS
Senior Site Reliability / DataOps Engineer
Apex Systems
Toronto, ON
- $40 to $60 CAD / hour
- Contract
Apex Systems is seeking a Senior Site Reliability / DataOps Engineer to support a large-scale data modernization initiative within a major Canadian financial institution.
Added 1 month ago
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Senior Applied AI Developer
Plusgrade
Montreal, QC
- Full-time
You master general software engineering principles with Python and Java, building robust RESTful APIs, containerized services with Docker and Kubernetes, and native AWS infrastructure.

Lime

Senior Analytics Engineer

Remote, Canada

Remote

$100,000 to $138,000 CAD / year · Full-time

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Job details

Pay: $100,000 to $138,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Oct 8, 2026

Original job description

As the largest global shared micromobility business, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me.

Lime is hiring a Sr. Analytics Engineer to join our Corp Tech Data and Integrations Team. You will report to Lime’s Corp Tech Analytics Manager in the Enterprise Engineering space and partner closely with Finance & Accounting leadership to design systems with the highest levels of governance - ensuring our business performance and financial reporting data can withstand rigorous external audits.

This is a remote position with a requirement for candidates to reside in Canada to maintain effective collaboration across teams.

What You’ll Do:

Design the long-term technical vision for Lime’s Corporate Data Warehouse to build a robust, scalable Finance-grade semantic layer that supports Finance, Accounting, and internal Corp Tech analytics initiatives.
Own the Finance data modeling strategy across core systems, including NetSuite and sub-ledgers, ensuring consistent definitions for key measures (revenue, COGS, asset balances, depreciation, accruals, close KPIs).
Define and enforce standards for dbt modeling, SQL style, CI/CD workflows, documentation, and automated testing - so the entire team operates with audit-grade precision.
Build reconciliation-ready datasets that support month-end close and audits: control totals, roll-forwards, sub-ledger to GL tie-outs, variance explanations, and transparent lineage.
Enforce strict data governance and controls: data ownership, glossary, lineage, change management, access patterns, and automated data quality validation aligned to Finance expectations.
Partner with Finance stakeholders (Accounting/FP&A/Finance Ops) to ensure analytics solutions support month-end close workflows, audit evidence needs, and stakeholder trust.
Evaluate and integrate orchestration & automation capabilities that reduce manual intervention and operational risk across ingestion → transformation → reporting pipelines (including alerting/observability and SLA monitoring).
Mentor Analytics Engineers on the team through design review, code review, and pairing - raising the bar on modeling, testing, and operational rigor.

About You:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
5+ years in analytics engineering / data warehousing, with a track record of designing architectures that scale in fast-growing environments.
Strong backend instincts: you think in data contracts, idempotency, late-arriving data, reprocessing, control totals, and lineage - not just dashboards.
Demonstrated ability to influence technical and non-technical stakeholders at the Director/VP level, navigating conflicting requirements to land the best long-term solution.

Technical Requirements

Cloud & warehouse: 5+ years building and scaling data stacks on cloud providers (AWS preferred), including deep production experience with Snowflake - warehouse sizing, clustering, incremental strategies, query profiling, and cost/performance trade-offs.
SQL & Python: expert-level, high-performance SQL, plus strong Python for transformation, tooling, and automation. You can develop and debug complex transformations and explain why they perform the way they do.
dbt: deep expertise (macros, packages, performance patterns, project structuring) and a clear philosophy on how to run large-scale dbt programs with maintainability and reliability.
Data modeling: dimensional modeling, ELT pipeline design, and semantic layer design for Finance-grade reporting.
Orchestration: workflow orchestration tools such as Airflow - DAG design, dependency management, backfills, retries, SLAs, and how orchestration interacts with the transformation layer.
Data ops: CI/CD for data pipelines, version-controlled schemas, automated testing, code review standards, and release management.
Reliability & observability: freshness and volume monitoring, anomaly detection on control totals, lineage tracking, alerting, runbooks, and clear ownership.
Governance tooling: modern data governance tools and practices - cataloging, lineage, PII masking, and role-based access control.
Distributed & streaming: working familiarity with Spark, Flink, or Kafka, and with CDC/ingestion patterns supporting batch and near-real-time analytics.
Infrastructure: experience with Iceberg, Debezium, or Infrastructure-as-Code tools like Terraform for managing data infrastructure.

Finance & Accounting Requirements

This role sits at the intersection of engineering and Finance. You do not need to be an accountant, but you do need to speak the language of the close and design systems that hold up under audit.

ERP fundamentals (NetSuite preferred): transactions and their GL impact, accounting periods and close calendars, dimensionality (subsidiary / department / class / location), and how upstream operational events roll into Finance reporting.
General Ledger & sub-ledgers: comfort navigating GL and sub-ledger complexity, and modeling sub-ledger-to-GL reconciliations with clear, defensible “single source of truth” definitions.
Core financial measures: consistent definition and modeling of revenue, COGS, asset balances, depreciation, accruals, and month-end close KPIs.
Fixed Assets / FAM: asset lifecycle data, depreciation logic (e.g., straight-line), asset resets and adjustments, roll-forwards, and auditability of asset balances.
Close & audit support: building reconciliation-ready datasets - control totals, roll-forwards, sub-ledger-to-GL tie-outs, variance explanations, and transparent lineage that can withstand rigorous external audit.
Planning & forecasting: familiarity with planning models (e.g., Anaplan) and how plan vs. actuals alignment should be modeled and governed.
Controls & governance: working within strict internal controls (SOX, audit readiness, IPO readiness, or other regulated environments) - data ownership, change management, access patterns, and evidence trails.
Finance partnership: the ability to work directly with Accounting, FP&A, and Finance Ops to translate close workflows and audit evidence needs into concrete data requirements.

Preferred Experience:

Experience implementing data quality frameworks (unit/integration tests, anomaly detection on control totals, freshness/SLA checks) and operationalizing them (alerts, runbooks, ownership).
Experience integrating ERP and planning platforms (NetSuite, Anaplan) into a governed warehouse via APIs or CDC.

The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.

If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.

Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email recruiting-operations@li.me for assistance.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

Design and maintain a robust, scalable Finance-grade data warehouse and semantic layer to support financial reporting and audit requirements. Partner with Finance and Accounting leadership to enforce data governance, reconciliation standards, and automated data quality controls.

Requirements

Requires 5+ years of experience in analytics engineering with deep expertise in Snowflake, SQL, Python, and dbt. Candidates must possess strong knowledge of financial systems like NetSuite and the ability to model complex accounting data for audit-grade precision.

Skills

Analytics engineering
Data warehousing
SQL
Python
Dbt
Snowflake
Data modeling
Airflow
CI/CD
Data governance
NetSuite
Financial reporting
ETL
Data lineage
Cloud infrastructure
Finance operations

Benefits

Equity
Performance bonus

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Data Warehousing
Snowflake
SQL
Python
Dbt
NetSuite
Airflow
Data Governance
Financial Reporting
ETL
CI/CD
Data Modeling
Finance Operations
Accounting
Cloud Computing
Data Lineage
Infrastructure-as-Code
Terraform
Spark
Flink
Kafka
Anaplan
SOX
Audit Readiness
Data Quality
Observability
Dimensional Modeling
Revenue
COGS

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Jobs in Canada