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Added 2 mins ago
Planner Medium Term
Evolution Mining Limited
Red Lake, ON
Added 17 mins ago
EM
Planner Medium Term
Evolution Mining
Red Lake, ON
- Full-time
Added 17 mins ago
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Staff Software Engineer
SoTalent
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- $173,000 to $197,000 CAD / year
- Full-time
A leading financial technology pioneer in Downtown Toronto is looking for a high level Staff Software Engineer to join their growing development studio. This organization operates like a…
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Lead Software Engineer
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Databricks Data Engineer
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Ottawa, ON
- Contract
We are seeking a hands-on Lead Databricks Data Engineer to design, develop, and optimize enterprise-scale data pipelines and AI-ready data platforms using Databricks and AWS.
Added 3 hours ago
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Staff Data Engineer
MeeruAI
Canada
- Full-time
…- and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A…
Added 6 hours ago
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Technical Support Specialist- FortiSASE
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Dir Cyber Security Engineering
Altice USA
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
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Data Governance Architect
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Toronto, ON
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Infostrux is one of North America’s fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a…
Added 11 hours ago
Career Education and Co-op Program Coordinator, College of Engineering
University of Saskatchewan
Saskatoon, SK
Added 11 hours ago
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Software Engineer Intern
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
As an AI Engineer Co-op at Symplistic.ai, you will work directly with our engineering team to design, develop, test, and deploy enterprise AI applications and AI agents.
Added 11 hours ago
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Associate IT Operations Engineer
Johnson Controls
Nisku, AB
- Full-time
…resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher…
Added 13 hours ago
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Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 13 hours ago
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Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
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We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 13 hours ago
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Principal Embedded Software Firmware Engineer (35837)
Myticas Consulting
Ottawa, ON
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Principal Embedded Software/Firmware Engineer
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AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
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Added 13 hours ago
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Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
We are looking for an experienced Network Service Engineer with strong expertise in customer network service configuration to support the design, implementation, and optimization of network…
Added 13 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)

MeeruAI

Staff Data Engineer

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 24, 2026

Original job description

About Meeru AI

Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems - ERPs, CRMs, billing platforms, HRIS - and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A leaders.

We deploy on customer terms - SaaS multi-tenant, SaaS single-tenant, and on-premises - across AWS, Azure, and GCP. Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.

The Role

We are looking for a Staff Data Engineer to build and own the major subsystems of the data foundation - the pipelines, connectors, and curated models that feed the platform's analytics and AI layers. You take the data architecture and standards set by the data lead and turn them into robust, production-grade systems that don't break and don't lie about the numbers.

You own significant pieces of the platform end to end complex transformations over the warehouse, source integrations for new customer systems, and the reconciliation and lineage that prove the curated model ties back to source. This is a hands-on, high-ownership engineering role with a clear path toward Senior Staff.

Requirements

7+ years in data engineering. You've owned complex, production pipelines end to end, including how they perform, how reliable they are and what they cost to run
Expert SQL and data modeling. You write complex, set-based transformations over a cloud warehouse (Snowflake, BigQuery, PostgreSQL or similar) and design models other teams build on
dbt in production. You've built and maintained real dbt projects, including incremental models that refresh efficiently instead of rebuilding everything
Production orchestration with Airflow or Dagster. You design DAGs that are safe to rerun and backfill
Warehouse internals and performance tuning. You know why a query is slow or expensive on large datasets and how to fix it
A bias toward correctness. You treat data tests, reconciliation against source and lineage as core to the job, and you build pipelines that are idempotent and reproducible
Solid Python. Enough to write pipeline code, tests and tooling that others can maintain
Comfort with messy source systems. You've integrated real-world sources with inconsistent data and changing schemas, and kept downstream models stable
Collaboration and mentorship. You agree data contracts with backend and AI teams, review peers' work and mentor senior and mid-level engineers

Nice to have

ERP and financial data. Experience with NetSuite, SAP, Oracle or Workday, or with finance data such as general ledger, accounts payable, payroll and HRIS
CDC and managed ingestion. Change-data-capture pipelines or tools like Fivetran
Multi-cloud and customer-hosted deployments. Work across AWS, Azure and GCP, ideally where pipelines run inside customer environments with strict tenant isolation and no data leaving
A wider warehouse range. Oracle ADW, Apache Pinot or MySQL alongside the main warehouses
FinTech or financial-services exposure. You understand why finance teams need numbers that tie out to the cent
Reusable integration frameworks. You've built connectors or mappings as configuration on a shared framework, so the next source is faster to onboard
Test and synthetic data. You've built golden or synthetic datasets for regression testing
Interest in architectural ownership. This role has a clear path toward Senior Staff

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More about this job

Responsibilities

Build and own production-grade data pipelines, source connectors, and curated models that support the platform’s analytics and AI systems. Develop complex warehouse transformations and ensure data correctness through reconciliation, lineage, and reliable, reproducible operations.

Requirements

Requires 7+ years of data engineering experience, expert SQL and data modeling skills, production experience with dbt and Airflow or Dagster, and strong Python skills. Candidates should have experience operating reliable, efficient pipelines, tuning warehouse performance, integrating inconsistent source systems, and collaborating with and mentoring engineering teams.

Skills

Data Engineering
SQL
Data Modeling
dbt
Airflow
Dagster
Python
Cloud Data Warehousing
Pipeline Orchestration
Performance Tuning
Data Quality Testing
Data Reconciliation
Data Lineage
Change Data Capture
Source System Integration
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Data Modeling
dbt
Airflow
Dagster
Python
Snowflake
BigQuery
PostgreSQL
AWS
Azure
GCP
ERP
CRM
NetSuite
SAP
Oracle
Workday
Change Data Capture
Fivetran
Data Pipelines
Data Orchestration
Data Reconciliation
Data Lineage
Data Contracts
Financial Data
General Ledger
Accounts Payable
HRIS

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