Data Engineer, Event Data

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Movable Ink

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📣 Marketing

✈️ Travel

🏨 Hospitality

💰 $55M Series D on 2022-04

Marketing • Travel • Hospitality

Movable Ink is a leader in personalized marketing, utilizing AI and automation to deliver tailored content to customers across various touchpoints, such as email and mobile. Their solutions, including the Movable Ink Studio and Da Vinci, empower retail, financial services, media organizations, and travel & hospitality sectors by transforming data into unique customer experiences in real-time. The company collaborates with a vast network of strategic partners, enhancing existing marketing technologies to achieve remarkable revenue and customer engagement. Movable Ink's expertise is endorsed by studies, such as the Forrester Consulting Total Economic Impact™ study, highlighting significant financial benefits for users. Through their innovative use of AI, Movable Ink drives next-level personalization and marketing performance.

📋 Description

• Design, build, and maintain event streaming pipelines ingesting data from client systems, internal services, and third-party sources • Develop and operate analytical databases and data models optimized for high-volume event 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 and design low-risk migration paths • Build and maintain monitoring, alerting, and observability tooling to ensure pipeline health, data freshness, and SLA compliance • Define and enforce event schemas, data contracts, and quality standards with producing and consuming teams • Collaborate with data platform, product engineering, and analytics teams to deliver reliable event data products • Participate in system design reviews and establish best practices for the Events Data team

🎯 Requirements

• Strong proficiency in Elixir and/or Python • Advanced SQL skills for data modeling, query optimization, and analytical workloads • Hands-on production-scale experience with columnar/OLAP databases • Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink is a strong plus • Ability to integrate and migrate legacy and modern systems • Experience operationalizing production data pipelines, including monitoring, alerting, SLA dashboards, and runbooks • Experience designing and operating data systems on AWS; GCP experience is a plus • Strong collaboration and communication skills, including leading design discussions and writing technical specifications • Experience with Infrastructure-as-Code tools such as Terraform, CloudFormation, or similar • Retail events data experience is a plus • Experience with Databricks, Flink, and message brokers such as Kafka, Pulsar, or Kinesis is a plus

🏖️ Benefits

• Additional bonus depending on the position ultimately offered • Medical benefits • Financial benefits • Other benefits