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Added 2 mins 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 2 mins ago
Software Development Engineer , Device Privacy And Data Handling
Amazon
Toronto, ON
We are looking for an experienced, passionate, and technically strong engineer who can architect and deliver innovative, complex, high-impact software systems that delight our customers
Added 15 mins ago
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AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 32 mins ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
…business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric - with AI embedded across the automation lifecycle…
Added 59 mins ago
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Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
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- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 1 hour ago
Intermediate Site Reliability Engineer
ContactMonkey
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Our mission is to power measurable employee engagement worldwide, and we're looking for an Intermediate Site Reliability Engineer to join our Engineering team.
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Data Specialist
McKesson
Mississauga, ON
- Full-time
Partner with Forward Deployed Engineer, business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions.
Added 1 hour ago
HP
Sr Manager, Business Analytics
Hill's Pet Nutrition
Toronto, ON
- $143,100 to $166,950 CAD / year
- Full-time
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Added 1 hour ago
E
Full Stack Engineer, SE3
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- Full-time
We are seeking a Full Stack Engineer with to help redefine and elevate the Goldin platform. In this role, you’ll work across the stack, collaborating with high-velocity teams to design,…
Added 2 hours ago
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Senior Analytics Engineer
Lime
Remote, Canada
- $100,000 to $138,000 CAD / year
- Full-time
- Remote
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…
Added 2 hours ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 2 hours ago
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Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 2 hours ago
DevOps Developer, AI Automation
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We are searching for a Platform Engineer with strong Devops and SRE experience to join our growing Platform team. You will also drive the adoption of agentic AI across the platform,…
Added 3 hours ago
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Senior System Administrator
ICES
Toronto, ON
- Contract
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…
Added 3 hours ago
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Senior System Administrator
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Toronto, ON
- Full-time
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Added 7 hours ago
Software Developer III, Ads Infrastructure
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Waterloo, ON
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 7 hours ago
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Systems Validation Engineer - Data Center GPU
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Markham, ON
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will execute on SOC and system/rack level validation, triage and debug for the AMD Data…
Added 8 hours ago
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Applied AI Software Engineer
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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 10 hours ago
Sr SDET– Firmware Automation
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Toronto, ON
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 10 hours ago
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Sr SDET– Firmware Automation
Lightmatter
Toronto, ON
- Full-time
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 11 hours ago
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Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
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Added 13 hours ago
Senior Network Monitoring Engineer
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…enhance network visibility, performance optimization, operational automation and incident resolution. Although this is not primarily a software development role, you will use scripting,…
Added 13 hours ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
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Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data…
Added 13 hours ago
CS
Data Engineer
Curis Solutions
Engineer, BC
- Full-time
Curis Solutions is a rapidly growing technology & analytics focused consulting firm specializing in creating long term solutions for health systems and physician practice groups to harness…
Added 13 hours ago
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Digital Controls Technical Specialist
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…Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're…

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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