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Added 15 mins ago
SP
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 1 hour ago
LA
SITE RELIABILITY ENGINEER
LayerZero Asia
Vancouver, BC
- Full-time
Collaborate with product and platform engineers to proactively address reliability, scalability, and observability.
Added 1 hour ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 6 hours ago
C
Principal Machine Learning Engineer, AISWP (Hybrid)
Cisco
Vancouver, BC
- Full-time
Join our team as a Principal Forward Deployed Engineer to shape the future of our AI-powered platforms. You will:
Added 6 hours ago
MR
Staff Site Reliability Engineer/ Azure
Motion Recruitment
Toronto, ON
- Full-time
As a Staff Site Reliability Engineer, you'll have the opportunity to take real ownership of platform reliability, shape the future of infrastructure strategy, and help build resilient…
Added 6 hours ago
MR
Azure DevOps Engineer
Motion Recruitment
Toronto, ON
- Full-time
As a DevOps Engineer, you'll play a key role in advancing the infrastructure behind a next-generation electronic medical records platform, helping create the secure, scalable, and reliable…
Added 8 hours ago
M
Senior Software Engineer - Backend
Microsoft
Vancouver, BC
- Full-time
The engineer in this role drives initiatives with company-level impact, ensuring our platform can continue to scale, evolve, and support future Microsoft Ads growth.
Added 8 hours ago
N
Senior Software Engineer, NeMo Helix Core Platform
NVIDIA
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer to help build NeMo Helix, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role is for a senior…
Added 10 hours ago
U
Full-Stack Software Engineer
Ultrassure
Remote, Canada
- Full-time
- Remote
We are hiring a Full-Stack Software Engineer to help build the next generation of the platform.
Added 10 hours ago
SO
Senior Software Engineer, Dentrix Ascend
Software of Excellence
Surrey, BC
- Full-time
We are looking for a Senior Software Engineer to join our True North team and help build and evolve Dentrix Ascend for the US market.
Added 10 hours ago
HS
Senior Software Engineer
Henry Schein One Canada
Surrey, BC
- Full-time
We are looking for a Senior Software Engineer to join our True North team and help build and evolve Dentrix Ascend for the US market.
Added 11 hours ago
ES
Senior Site Reliability Engineer – AEM
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Senior Site Reliability Engineer – Adobe Experience Manager (AEM), CDN and Edge Delivery
Added 11 hours ago
HS
Senior Java Software Engineer
Henry Schein One Canada
Surrey, BC
- $130,000 to $142,000 CAD / year
- Full-time
We are looking for a Senior Software Engineer to join our True North team and help build and evolve Dentrix Ascend for the US market.
Added 11 hours ago
IG
Platform Engineer
Insight Global
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform operations.…
Added 12 hours ago
NS
Senior Site Reliability Engineer (SRE) – CDN & Web Performance
N2P Systems
Toronto, ON
- Full-time
We are seeking a Senior Site Reliability Engineer (SRE) to help build and operate a modern, public-facing enterprise web platform delivered through Adobe Experience Manager (AEM) Edge…
Added 12 hours ago
SI
Senior Cryptographic Protocol Engineer
SuperQubit Inc.
Markham, ON
- Full-time
Job Title: Senior Cryptographic Protocol Engineer
Added 12 hours ago
AI
GCP Infrastructure & Cloud SRE Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Define and manage SLI/SLOs, monitoring, observability, and reliability standards.
Added 12 hours ago
ES
Python Backend Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are looking for a strong Python Backend Engineer with hands-on experience designing and building scalable backend systems, microservices, APIs, and distributed applications.
Added 12 hours ago
LI
GCP Infrastructure Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Define and manage SLI/SLOs, monitoring, observability, and reliability standards.
Added 12 hours ago
S
Senior Software Engineer, Platform & Infrastructure
Spellbook
Canada
- Full-time
Spellbook is seeking a generalist Platform and Infrastructure Engineer to join our team. In this role, you'll work across our entire technical stack - from infrastructure (AWS, MongoDB,…
Added 13 hours ago
R
Data Engineering Manager
Relay
Remote, Canada
- $207,000 to $253,000 CAD / year
- Full-time
- Remote
…foundation underneath: infrastructure, cost, real-time data, observability, and the AI capabilities the rest of Relay builds…
Added 13 hours ago
RC
GCP Infrastructure & Cloud SRE Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: GCP Infrastructure & Cloud SRE Engineer
Added 13 hours ago
QW
GCP Cloud SRE Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Experience with SRE practices, observability, incident management, and automation.
Added 13 hours ago
H
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 13 hours ago
JG
GCP Infrastructure & Cloud SRE Engineer
J&M Group
Toronto, ON
- Full-time
Define and manage SLI/SLOs, monitoring, observability, and reliability standards.

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
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.

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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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