Senior Data Engineer
Engineer for a digital health platform who builds config-driven, AI-assisted consumer engagement automation across email, push, SMS, and in-app channels — owning event/attribute schemas, segmentation, data pipelines, integrations (Iterable, Twilio, SendGrid), and AI workflows for content generation, localization, and QA.
- Compensation
- Not disclosed
- Location
- Spain
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 4+ years in marketing automation, lifecycle/CRM engineering, marketing technology, or similar engineering role
- Strong hands-on experience with Iterable or comparable enterprise engagement/ESP platform
- Strong technical foundation in SQL, APIs, data models, and integrations
- Experience designing event and attribute schemas, segmentation logic, data pipelines, and personalization data flows
- Ability to build reusable automation and tooling rather than only configure campaigns
- Practical experience with AI-assisted workflows, prompt engineering, or agent-based automation
- Experience designing validation or evaluation mechanisms for AI-generated content
- Strong systems thinking, documentation, and troubleshooting skills
- Ability to translate business/engagement requirements into technical solutions and work across Engineering, Data, Product, and business teams
- Understanding of security, privacy, and compliance requirements in regulated environments
Nice to have
- Healthcare or Digital Health experience
- Working knowledge of HIPAA, HITECH, TCPA, FCC, and CAN-SPAM requirements
- Experience with SendGrid, OneSignal, Twilio, Wagtail CMS, Lokalise, or comparable platforms
- Experience with experimentation and analytics platforms such as Sigma
- Experience building internal tooling, MCP integrations, AI agents, or agent frameworks
- Experience with localization, A/B testing, campaign analytics, or multi-channel engagement platforms
Full description
We are looking for a Consumer Engagement Automation Engineer to join a Digital Health platform focused on improving healthcare engagement and access to health information.
This is an engineering role focused on building scalable automation systems that generate and deliver personalized communications across email, push, SMS, and in-app channels. You will own the automation, data, integration, and AI-enabled workflows behind those communications rather than manually building individual campaigns.
The platform connects healthcare data from multiple sources and uses it to deliver personalized consumer experiences.
The Consumer Engagement domain is evolving from manually created campaigns toward config-driven, reusable, AI-assisted automation. The goal is to build systems that can generate, localize, validate, and deliver compliant communications across multiple enterprise clients with minimal manual effort.
The environment includes marketing automation platforms, messaging providers, content systems, data pipelines, APIs, and AI/agent-based workflows.
The platform connects healthcare data from multiple sources and uses it to deliver personalized consumer experiences.
The Consumer Engagement domain is evolving from manually created campaigns toward config-driven, reusable, AI-assisted automation. The goal is to build systems that can generate, localize, validate, and deliver compliant communications across multiple enterprise clients with minimal manual effort.
The environment includes marketing automation platforms, messaging providers, content systems, data pipelines, APIs, and AI/agent-based workflows.
Requirements:
- 4+ years of experience in marketing automation, lifecycle/CRM engineering, marketing technology, or a similar engineering-focused role.
- Strong hands-on experience with Iterable or a comparable enterprise engagement/ESP platform.
- Strong technical foundation in SQL, APIs, data models, and integrations.
- Experience designing event and attribute schemas, segmentation logic, data pipelines, and personalization data flows.
- Ability to build reusable automation and tooling rather than only configure campaigns.
- Practical experience with AI-assisted workflows, prompt engineering, or agent-based automation.
- Experience designing validation or evaluation mechanisms for AI-generated content.
- Strong systems thinking, documentation, and troubleshooting skills.
- Ability to translate business/engagement requirements into technical solutions and work across Engineering, Data, Product, and business teams.