ABOUT CODEWAYCodeway builds category-leading consumer AI apps on mobile and web, at integral scale.
Completely bootstrapped. We turn category wins into six focused vertical companies: Wishlabs (AI Creativity), Wellture (Wellness), Learna (Education), Sparked (Media), Cosmic Jam (Entertainment), and Catalyst Apps (Utilities & Productivity). Every idea born here starts with an unfair advantage: the platform, the people, and the profits of every product before it. PositionYou'll join Cerebro, the team that builds and runs the data platform behind 60+ Codeway apps and 400 M+ users. This is the layer where streaming events become trustworthy numbers — the retention, conversion, and attribution that product, marketing, and the executive team act on every day. You'll start owning real pipelines and warehouse models on a modern Google Cloud stack, with the team alongside you, and grow into more of the platform as you go. You'll also ship with agentic AI tools as a real part of how we work — this is AI-native data engineering. If you like owning data end to end, from a Pub/Sub event to a Looker explore, and want scale you can't get just anywhere (hundreds of millions of users), you'll feel at home here.

What You'll Do
Day-to-day Build and run pipelines for mobile-app events and marketing-platform data: batch ingestion, incremental warehouse models, scheduling, backfills and data-quality checks.
Write SQL and build/maintain warehouse models that feed analytics and BI.
Build with agentic coding tools (Claude Code, Google Antigravity) every day, and help keep our internal knowledge base sharp. Grow into over time Real-time/streaming ingestion through Pub/Sub and Dataflow.
Transformation and orchestration with dbt and Airflow.
Reading and making changes in our distributed Node.




Js services (event routing, conversion matching, receipt verification) where pipeline work lands.
Owning marketing-platform ETLs end to end, and the attribution and growth-KPI pipelines built on them. You won't touch all of this in your first months — the platform surface spans ingestion, transformation, the warehouse, and the BI layer, and we'll bring you onto it deliberately.
What You'll Bring An AI-native way of working — you build alongside agentic coding tools (Claude Code, Google Antigravity) and judge their output critically, rather than trusting it blindly.
Solid programming fundamentals — sound programming principles, data structures, and clean, maintainable code. Comfortable with SQL and data modeling — you can write non-trivial SQL and reason about how to structure data.
You've built and run a data pipeline end to end (ingestion, transformation and some form of automation or scheduling), ideally with 1–4 years of experience through internships or professional work. Strong personal or academic projects count too.
Fluency in English — you communicate and document clearly across product, marketing, analytics, and engineering.
A Bachelor's or higher in Computer Science, Software Engineering, or a related field. On day one we expect solid SQL and one programming language (we work across Node.
Js/Type Script and Python). Hands-on with any cloud data warehouse (Big Query especially) and GCP (Pub/Sub, Dataflow, Cloud Functions, Cloud Run, GKE, Firestore, GCS). A modern analytics & transformation stack — Looker/Look ML, dbt, Airflow.
Comfort with Docker/containers and a feel for how distributed data processing behaves.
Here's how it looks like: ApplicationCase StudyTalent & Culture InterviewTech Panel InterviewFinal InterviewOffer #J-*-Ljbffr

📌 Data Analytics Engineer SQL (España)
🏢 Codeway
📍 España