Junior Data Engineer

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.

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.

• 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.

• 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.

• 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.