Junior Data Engineer

## About Codeway Codeway is a global consumer technology company building apps people love. Since 2020 we've launched 60+ mobile apps — including flagship apps Retake AI, Cleanup, Learna, and DramaPops — reaching 400M+ users worldwide, and in 2024 we were the #1 most-downloaded iOS publisher. We're 300+ people across İstanbul and Barcelona, a #1 LinkedIn Top Startup, and a Great Place to Work in Europe. ## Position You'll join Cerebro, the team that builds and runs the data platform behind 60+ Codeway apps and 400M+ 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 maintain data pipelines that ingest events reliably into the data platform. - Write SQL and build/maintain warehouse models that feed analytics and BI. - Help keep our BigQuery warehouse fast and cost-aware (partitioning, clustering, sensible schemas). - Contribute to the Looker/LookML semantic layer (PDTs, datagroups, derived views, explores). - 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. - Marketing-platform ETLs and attribution/growth KPIs. 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 **If you don't tick every box below, apply anyway.** Strong fundamentals and the drive to learn fast matter far more than ticking every requirement — and the stack below is something we'll teach. - **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. The language matters less than how you think. - **Comfortable with SQL and data modeling** — you can write non-trivial SQL and reason about how to structure data. - **You've built and owned a data pipeline** — through a personal project, coursework, an internship, or production work. No prior professional experience required. - **Fluency in English** — you communicate and document clearly across product, marketing, analytics, and engineering. **Day one we really expect:** SQL and one general-purpose language (we work across Node.js/TypeScript and Python). Everything else below, we'll teach. **Nice to have — none is a dealbreaker:** - Hands-on with any cloud data warehouse (BigQuery especially) and GCP (Pub/Sub, Dataflow, Cloud Functions, Cloud Run, GKE, Firestore, GCS). - A modern analytics & transformation stack — Looker/LookML, dbt, Airflow. - Comfort with Docker/containers and a feel for how distributed data processing behaves. - A marketing-analytics brain — attribution, retention, conversion, ROAS, LTV. **Other** — a Bachelor's or higher in Computer Science, Software Engineering, or a related field, or equivalent practical experience. ### **THE RECRUITING PROCESS** We are committed to keeping our recruitment process short and transparent. Here’s how it lo…