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.
Responsibilities:- Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
- Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
- Write production Elixir and Python services for event processing, transformation, and routing
- Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
- Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
- Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
- Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
- Participate in system design reviews and help establish best practices for the Events Data team
Qualifications:- Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
- Advanced SQL skills for data modeling, query optimization, and analytical workloads
- Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
- Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
- Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
- Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
- Experience designing and operating data systems on AWS; GCP experience is a plus
- Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
- Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
- Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus
Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus
The 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 benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
