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 Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink's platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.ResponsibilitiesDesign, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platformDevelop and operate analytical databases and data models optimized for high-volume event data queries and low-latency accessWrite production Elixir and Python services for event processing, transformation, and routingIntegrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumersBuild and maintain monitoring, alerting, and observability tooling for event data systems,



ensuring pipeline health, data freshness, and SLA complianceDefine and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teamsCollaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data productsParticipate in system design reviews and help establish best practices for the Events Data teamQualificationsStrong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline componentsAdvanced SQL skills for data modeling, query optimization, and analytical workloadsHands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scaleExperience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plusDemonstrated ability to integrate and migrate systems, bridging legacy and modern architecturesProven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards,



and runbooks for production systemsExperience designing and operating data systems on AWS; GCP experience is a plusStrong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundariesExperience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similarExperience with retail events data such as clickstream, purchase events, or product interaction data is a plusExperience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plusThe base pay range for this position is $130k CAD - $165k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other advantages. 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.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. #J-18808-Ljbffr

📌 Data Engineer, Event Data (Toronto)
🏢 Doist
📍 Toronto