Data Engineer (AI & Analytics)

Location: Remote - Spain

Company

hirify.global is a tech-enabled growth marketing firm that combines marketing, consulting, data intelligence, and proprietary technology to drive revenue and brand recognition for clients.

What you will do

• Design, build, and maintain ingestion pipelines, data models, data marts, and serving layers for agency, client, internal, and AI consumers.
• Build resilient integrations with advertising platforms, handling API changes, deprecated fields, rate limits, and retroactive conversion restatements.
• Reconcile spend, impressions, conversions, and revenue across Meta, Google, TikTok, Amazon, LinkedIn, Microsoft, Shopify, Klaviyo, GA4, and client CRMs.
• Develop client-specific models and marts while extending the shared multi-tenant data foundation instead of creating isolated forks.
• Build semantic layers and metric definitions that support consistent AI-generated SQL answers.
• Monitor data quality, improve pipeline cost and performance, and collaborate with client, BI, Data Ops, nova, and AI/innovation teams.

Requirements

• 3+ years of experience in data or analytics engineering, including 1+ year owning a meaningful dbt project in production.
• Advanced Python and SQL skills, with experience writing production-grade pipeline and modeling code.
• Deep dbt expertise, including incremental strategies, full refreshes, Jinja, macros, packages, tests, snapshots, source freshness, exposures, DAGs, and materializations.
• Strong Snowflake and cloud data stack experience, plus familiarity with GCP and infrastructure-as-code.
• Experience with multi-tenant modeling, end-to-end data lifecycles, marketing and advertising datasets, Git, CI/CD, and automated testing.
• Advanced spoken and written English proficiency is required.

Nice to have

• Agency, consultancy, services, brand, retailer, or martech experience.
• Experience with incrementality, media mix modeling, attribution, server-side tagging, retail, or marketplace data.

Culture & Benefits

• People-first culture focused on diversity, inclusion, integrity, autonomy, innovation, and measurable results.
• Opportunity to work across a large client portfolio and varied marketing technology stacks.
• Use of AI coding and agentic development tools as part of standard engineering workflows.
• Work on data systems supporting agency, client, product, and AI initiatives.