Movable Ink

Movable Ink

Senior Data Engineer, AI Systems

Movable Ink - Toronto · Senior

Sponsorship not specifiedDetected 47 days ago
PythonDistributed SystemsCode ReviewGitGCPCloud PlatformsDockerKubernetesCI/CDGitHub ActionsKafkaMachine LearningSparkData EngineeringMLOpsAccessibility

About the role

  • 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.

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
  • Collaborate with distributed systems engineers on the platform's architectural evolution, ensuring data layer continuity throughout
  • Release features and data products that deliver measurable and tangible business value
  • 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.

Requirements

  • 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)
  • 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
  • Strong software development skills in Python (unit testing, git, code review, CI/CD)
  • 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

Compensation

  • 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.

Benefits

  • 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.

Visa & Work Authorization

  • y 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, polit
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This listing is sourced directly from Movable Ink's careers page and normalized into a canonical job model.