Data Engineer (AI)

Location: Barcelona, Spain; hybrid

Company

hirify.global builds consumer AI applications for mobile and web at global scale, with 600M+ downloads, 60+ apps, and more than 400 builders across Barcelona and İstanbul.

What you will do

• Build and operate batch and real-time pipelines for mobile-app events and marketing-platform data, including ingestion, incremental models, scheduling, backfills, and data-quality checks.
• Write SQL and maintain warehouse models that support analytics and BI.
• Optimize BigQuery performance and cost through partitioning, clustering, and appropriate schemas.
• Contribute to the Looker/LookML semantic layer, including PDTs, datagroups, derived views, and explores.
• Own marketing-platform ETLs and attribution and growth-KPI pipelines end to end.
• Work with distributed Node.js services and agentic coding tools such as Claude Code and Google Antigravity.

Requirements

• Solid programming fundamentals, including sound programming principles, data structures, and clean, maintainable code.
• Comfortable writing non-trivial SQL and reasoning about data modeling.
• Experience building and running an end-to-end data pipeline covering ingestion, transformation, and automation or scheduling.
• Ideally 1–4 years of experience through internships or professional work; strong personal or academic projects also count.
• Fluent English for clear communication and documentation across product, marketing, analytics, and engineering.
• Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
• Solid SQL and one programming language required from day one; the team works with Node.js/TypeScript and Python.

Nice to have

• Hands-on experience with BigQuery or another cloud data warehouse and GCP services including Pub/Sub, Dataflow, Cloud Functions, Cloud Run, GKE, Firestore, and GCS.
• Experience with Looker/LookML, dbt, and Airflow.
• Comfort with Docker and containers and an understanding of distributed data processing.
• Knowledge of attribution, retention, conversion, ROAS, and LTV.

Culture & Benefits

• Join Cerebro, the data-platform team supporting more than 60 apps and 400M+ users.
• AI-native working model using agentic coding tools while critically reviewing their output.
• Structured onboarding across ingestion, transformation, warehousing, and BI; the full stack is introduced progressively.
• Work in a bootstrapped, profitable company with small teams and ownership across product verticals.

Hiring process

• Application, followed by a case study.
• Talent & Culture Interview, Tech Panel Interview, Final Interview, and Offer.