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Added 4 mins ago
AS
Power Platform & UiPath Solutions Architect
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Toronto, ON
- $55 to $70 CAD / hour
- Full-time
This is a senior, hands-on architecture and governance role focused on helping shape and govern enterprise automation solutions across Microsoft Power Platform and UiPath. The successful…
Added 4 mins ago
MO
Operations Specialist
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- Full-time
…accordance with policies, goals, and objectives established by senior management. The incumbent is responsible for playing a leading role in various initiatives relating to improving…
Added 4 mins ago
FG
Senior Software Engineer
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- Contract
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Added 4 mins ago
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- Full-time
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Added 4 mins ago
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Senior Executive, Technology Strategy and Transformation
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- Full-time
We are seeking an experienced Senior Technology Executive to provide strategic direction, executive advisory, and technical leadership across client engagements and within QuantumSmart.
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Added 4 mins ago
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Added 4 mins ago
Talent Acquisition Coordinator
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Added 4 mins ago
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Sr. Financial Advisor CIRO-ID (Urban)
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Added 4 mins ago
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- Full-time
Present estimates and bid proposals to senior management for review and approval.
Added 19 mins ago
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Senior Data Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
We're looking for a Senior Data Engineer to build the data foundation behind Foresight.
Added 19 mins ago
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Added 19 mins ago
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Senior Platform Engineer
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- $180,000 to $240,000 CAD / year
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We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 19 mins ago
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Senior Manager, Privately Held Business Group
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Prepare regular summary reports for senior leadership.
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Added 19 mins ago
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Talent Acquisition Coordinator
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- $45,000 to $55,000 CAD / year
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Added 19 mins ago
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Senior Embedded Software Developer
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…platforms for optical networks. We are looking for a hands-on senior developer to take technical ownership of embedded Linux application software from design through implementation,…
Added 33 mins ago
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Real Estate Development - Senior Analyst/Analyst, Lease Management
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Added 33 mins ago
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Senior Merchandiser/ Merchandiser, Digital Merchandising
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Foresight

Senior Data Engineer

Montreal, QC, Canada

$180,000 to $240,000 CAD / year · Full-time

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Job details

Pay: $180,000 to $240,000 CAD / year
Job type: Full-time
Apply by: May 5, 2027
Experience: Have 5+ years of experience building and running production data pipelines, with ownership from source to consumer.
Posting language: English
Posted: Nov 6, 2026

Original job description

About Foresight

Foresight's mission is to bring the world's critical infrastructure into service faster by better enabling teams to deliver complex capital projects.

The AI buildout runs on physical things: data centers, power, and the supply chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its own schedule and its own spreadsheets. When a project slips, the people who could fix it usually find out last. For an AI data center, a month late can mean tens of millions in lost revenue.

Foresight is the control tower for these projects. We connect schedules, field progress and execution data across every party, forecast where delivery is heading, and help teams act before a delay becomes a missed date. On one 15-project portfolio, Foresight found a project 245 days behind, cut reporting overhead by 90%, and helped prevent more than $100M in lost revenue.

We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and are headquartered in New York.

The role

We're looking for a Senior Data Engineer to build the data foundation behind Foresight.

You will build the pipelines that take complex project data from the tools our customers already use and turn it into clean, trusted, well-modeled data. That data powers our predictions, AI recommendations, analytics and customer reporting. This is a hands-on role on a new team, for someone who cares about data being correct, explainable and available when it matters.

At Foresight, data engineering is product engineering. Every number a customer sees, every forecast and every recommendation starts with data you made trustworthy. This could translate to work on:

Ingestion from industry tools: Build robust pipelines that bring in project data from the scheduling and planning tools the industry runs on, and handle every messy, inconsistent file along the way.
A reliable history of every update: Model data so each update is preserved exactly as it arrived, and teams can compare any two points in time with confidence.
Data that powers ML and AI: Build the features, training datasets and search indexes behind our predictions and AI recommendations, and keep them fresh as new data lands.
Analytics and reporting: Build the models and pipelines behind customer dashboards, stakeholder reports and exports, plus the internal analytics we run the business on.
Quality, isolation and governance: Build automated data-quality checks, lineage and access controls, so every customer's data stays accurate, isolated and in the region it belongs.

What You'll Do

Own pipelines from design through production: define data contracts, set freshness and quality targets, and keep them met.
Partner with ML engineers on the features and datasets their models need, and with full stack engineers on the data behind each product feature.
Design for failure: pipelines that retry safely, can be re-run without duplicating data, and recover cleanly from bad inputs.
Make data observable, so problems are caught by monitors before a customer notices them.
Keep cost in check as data volumes grow, choosing the simplest tool that does the job well.
Help set the team's data standards and shape the platform as one of its first data engineers.

Requirements

You might be a fit if you

Have 5+ years of experience building and running production data pipelines, with ownership from source to consumer.
Are strong in Python and advanced SQL, including writing and tuning complex queries.
Have deep data modeling experience in Postgres or a similar relational database: schema design, indexing, partitioning and migrations.
Have experience parsing and normalizing messy real-world data: large files, inconsistent formats, missing or contradictory values.
Are hands-on with workflow orchestration for multi-step pipelines with dependencies, retries and backfills.
Have experience with AWS data services such as S3, managed databases, streaming and serverless compute.
Havea testing mindset for data: validation, quality checks, and reproducible, idempotent pipelines.
Are clear in communication and comfortable making pragmatic trade-offs on a small team.

Bonus points

Experience preparing data for ML: feature pipelines, training datasets, and keeping offline and online data consistent.
Experience with embeddings and vector search (pgvector or a search engine) for AI features.
Event-driven data: change data capture, streaming platforms, and the outbox pattern.
Familiarity with project scheduling data or tools from construction, engineering or energy.
Working with regulated enterprise or public-sector data: SOC 2, GDPR, data residency.
Infrastructure as code and CI/CD for data pipelines.
Early-stage or founding-team experience.

None of these are required. If the core of this role excites you, apply.

Benefits

Why join now

Real stakes, real customers. Real stakes, real customers. You won't be building for a hypothetical buyer. Owners and contractors are building now, on deadlines measured in revenue per day.
Blank canvas, solid ground. You get first-engineer level scope on a product that already has paying customers, real data and proven outcomes to tell.
Defining a category.Agentic software for physical infrastructure is a new category. What you build will become the standard.
Small, senior team. Flat, direct, low on process. We debate openly, decide quickly and ship.

Compensation and location

Total Comp: $180,000-240,000, based on experience, level, and location
Benefits: Health, Dental, Vision, 401(k), PTO .
Location: New York, San Francisco, and Montreal are preferred. Occasional travel to may be required

Foresight is an equal opportunity employer. We welcome applicants of every background and do not discriminate on any protected basis.

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More about this job

Responsibilities

Build and operate reliable data pipelines that ingest, normalize, model, and preserve project data from customer tools, powering product features, analytics, reporting, and AI/ML systems. Establish data quality, observability, governance, and cost-effective platform standards while partnering with ML and full-stack engineers.

Requirements

Candidates should have at least five years of experience owning production data pipelines, strong Python and advanced SQL skills, and deep experience with relational data modeling. They should also be experienced with messy real-world data, workflow orchestration, AWS data services, and testing reliable, reproducible pipelines.

Skills

Python
Advanced SQL
Data Pipelines
Data Modeling
PostgreSQL
Data Parsing And Normalization
Workflow Orchestration
AWS
Data Quality Testing
Idempotent Pipeline Design
Machine Learning Data Preparation
Feature Pipelines
Vector Search
Event-Driven Data
Infrastructure As Code
CI/CD

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(K)
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PostgreSQL
AWS
Amazon S3
Managed Databases
Streaming
Serverless Compute
Data Pipelines
Data Contracts
Data Modeling
Workflow Orchestration
Data Quality
Data Lineage
Access Controls
Machine Learning
Feature Pipelines
Training Datasets
Embeddings
Vector Search
Pgvector
Change Data Capture
Outbox Pattern
Data Residency
SOC 2
GDPR
Infrastructure As Code
CI/CD
Project Scheduling Data
Idempotent Pipelines

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