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Added 5 months ago
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Applied AI Engineer
Bounteous
Montreal, Quebec
- Full-time
5+ years of strong front-to-back engineering experience, focusing on AI ML platforms and workflows (Python or Java).
Added 5 months ago
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AI Solutions Architect
HireHawk
Remote, Canada
- Full-time
- Remote
Added 2 months ago
Developer, Cloud Engineering
Scotiabank
Toronto, ON
We are looking for an energetic and results-driven Cloud Engineer who is passionate about technology and is excited to play a key role in advancing the bank on its cloud strategy by…
Added 5 months ago
GP
Staff Software Engineer
Generac Power Systems
Remote, Canada
- Full-time
- Remote
Proficiency in multiple programming languages and frameworks including Go, Java, TypeScript, C++, Python, etc.
Added 3 months ago
Senior Data Engineer, AI Systems
Movable Ink
Toronto, Ontario
…some of the world's largest consumer brands. As a Senior Data Engineer, you will own the Spark-based data pipelines and data infrastructure at the heart of this system - building, scaling,…
Added 5 months ago
S
Software Engineer III (FC Ops)
Spreetail
Winnipeg, Manitoba
- Full-time
Spreetail is looking for a Software Engineer III to join our team. Spreetail is a technology-driven e-commerce company that owns and operates the full retail supply chain (from manufacturer…
Added 5 months ago
T
Senior Software Engineer, Developer Experience
Thumbtack
Remote, Canada
- Full-time
- Remote
Demonstrated experience building developer infrastructure, DevEx, or platform tools that other engineers depend on, from CDE rollouts and internal CLIs to MCP servers and build/CI at 100+…
Added 5 months ago
HT
Intern Engineer - Game Engine System
Huawei Technologies Canada Co., Ltd.
Edmonton, Alberta
- Internship
Huawei Canada has an immediate Intern opening for an Engineer.
Added 5 months ago
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Firmware Engineer
Nokia
Canada
- Full-time
As an Early Career Firmware Engineer, you’ll be part of an agile Scrum team developing software that controls and monitors next‑generation optical network equipment. You’ll be writing…
Added 5 months ago
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Sr. Infrastructure Engineer
VGS
Canada
- Full-time
…consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems that demand…
Added 5 months ago
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React Full Stack Developer
Citi
Remote, Canada
- Full-time
- Remote
From a technical standpoint, the Software Engineer has full-stack coding and implementation responsibilities and adheres to best practice principles including modern cloud-based software…
Added 5 months ago
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Software Engineer – Cloud & Python
Citi
Remote, Canada
- Full-time
- Remote
…product development teams. This expansion focuses on leveraging Python for analytics, hosting new data platforms, and building robust monitoring and observability capabilities. We are…
Added 5 months ago
C++ Developer
Glint Tech Solutions LLC
Toronto, Ontario
Glint Tech Solutions is hiring a C++ Developer for Toronto, Canada!
Added 5 months ago
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Senior Digital Hardware Design Engineer
Nokia
Canada
- Full-time
…and the VP of Hardware. We are also very lean - each Hardware Engineer spends more time doing engineering work and less time on overhead. As a result, your work has high visibility, and…
Added 5 months ago
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AI Engineer
Portless
Remote, Canada
- Remote
…manufacturing hubs like China to destinations worldwide. As an AI Engineer, you will own the design, development, and deployment of AI-powered systems that make our operations faster, our…
Added 5 months ago
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Staff Software Engineer ⭐
Achievers
Toronto, ON
- Full-time
Utilize a wide range of modern tools and technologies, including Python, Go, Kubernetes, Docker, Drone, Google PubSub, React/Redux, GraphQL, MySQL, PostgreSQL, and Microservices, to solve…
Added 5 months ago
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Senior Data Engineer
NimbleRx
Toronto, Ontario
- Full-time
As a Senior Data Engineer, you will own Nimble's data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 5 months ago
Senior Data Platform Engineer
Helcim Inc
Calgary, Alberta
6+ years of experience as a data engineer, analytics engineer, data platform developer, or similar role.
Added 5 months ago
S
Staff Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $146,200 to $258,000 CAD / year
- Full-time
- Remote
SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and…
Added 5 months ago
S
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $119,000 to $210,000 CAD / year
- Full-time
- Remote
SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and…
Added 5 months ago
HT
Co-op Software Engineer - AI System & Infrastructure
Huawei Technologies Canada Co., Ltd.
Burnaby, British Columbia · Vancouver, BC
- Internship
Huawei Canada has an immediate Co-op opening for an Engineer.
Added 5 months ago
MF
Senior Software Development Engineer in Test
Magnet Forensics
Ottawa, Ontario · Toronto, Ontario · Waterloo, Ontario
- Full-time
We are seeking a highly skilled and experienced Senior Software Development Engineer in Test (SDET) to join our engineering team, supporting the development and deployment of our…
Added 5 months ago
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Principal Data Developer
BlueCat
Toronto, Ontario
- Full-time
We are seeking a highly skilled Data Principal Engineer with strong leadership, communication, and collaboration abilities to join our dynamic team. In this exciting role, you will help us…
Added 5 months ago
E
Senior Software Engineer, Builders
EvenUp
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer on our Builders, you'll be the person EvenUp turns to when something critical breaks for a customer and the clock is ticking. This team reports directly to the…
Added 5 months ago
S
Senior Site Reliability Engineer
SimCorp
Toronto, Ontario
- Full-time
Support build, application maintenance, and scaling of incubated products (e.g., Qlik, Tosca, BI, SQL Developer, Python/Java solutions)

Movable Ink

Senior Data Engineer, AI Systems

Toronto, ON, Canada

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Job details

Experience: 5+ years of data engineering experience
Posting language: English
Posted: Jul 28, 2026

Original job description

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

The AI Systems team owns the core recommendations engine and ML platform that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior Data Engineer, you will own the Spark-based data pipelines and data infrastructure at the heart of this system - building, scaling, and optimizing the data layer that feeds our production ML models. You will work alongside ML engineers and scientists in a collaborative environment, contributing data pipelines and products to power our core recommender systems and our DaVinci Personalization product. This is an opportunity to work end-to-end on large-scale data systems that touch millions of customers, on a team working at the intersection of data engineering and machine learning.

This role will be reporting to the Director of Engineering (AI/ML).

Responsibilities:

Build, maintain, and optimize production data pipelines that power AI-driven personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping
Own and scale Spark-based batch pipelines, including cluster configuration, tuning, and performance optimization across GCP Dataproc
Build and maintain our ML Data Lake, ensuring data quality, accessibility, and efficient storage
Support the data needs of ML Engineers and Scientists for model development, training, and evaluation
Identify and resolve performance bottlenecks and scaling limitations in data pipelines and infrastructure
Collaborate with distributed systems engineers on the platform's architectural evolution, ensuring data layer continuity throughout
Continuously improve data infrastructure for greater scalability and reliability
Release features and data products that deliver measurable and tangible business value

Qualifications:

5+ years of data engineering experience
Deep expertise with Apache Spark, including the PySpark DataFrame API and experience solving challenging scaling problems
Experience with large-scale data processing, cluster configuration, optimization, and tuning (we use GCP Dataproc)
Strong software development skills in Python (unit testing, git, code review, CI/CD)
Experience with data storage formats (we use Parquet, Delta Lake)
Experience with event streaming data (we use Kafka)
Experience with cloud computing platforms (we use Google Cloud Platform)
Experience with advanced query optimization
Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use Docker, Kubernetes, and GitHub Actions)
Ability to collaborate with technical partners - you'll be working closely with ML engineers, scientists, and other teams to determine requirements and make design decisions
Enjoys working in a fast-paced, goal-driven environment

The base pay range for this position is $144K CAD - 188K CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

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More about this job

Responsibilities

Build and optimize Spark-based data pipelines and infrastructure to power AI-driven personalization and ML models. Collaborate with ML engineers to maintain the ML Data Lake and resolve performance bottlenecks for large-scale data systems.

Requirements

Requires over 5 years of data engineering experience with deep expertise in Apache Spark, Python, and GCP. Candidates must be proficient in data storage formats, event streaming, and modern software development lifecycle practices.

Skills

Apache Spark
PySpark
Python
GCP Dataproc
Parquet
Delta Lake
Kafka
Google Cloud Platform
Query Optimization
CI/CD
Docker
Kubernetes
GitHub Actions
Data Pipeline Optimization
ML Infrastructure
Distributed Systems

Benefits

Medical Benefits
Financial Benefits

Visa sponsorship

Not detected in the job text

Keywords

Apache Spark
PySpark
Python
GCP Dataproc
Parquet
Delta Lake
Kafka
Google Cloud Platform
Docker
Kubernetes
GitHub Actions
CI/CD
Machine Learning
Data Engineering
Data Lake
Personalization
Distributed Systems
Query Optimization
Data Pipelines
AI Systems

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