Data Engineer

codeway; España; Presencial; EUR 48.000 - 72.000; Jornada completa

Descripción de la vacante

Codeway is seeking a data engineering professional to join Cerebro, building and running pipelines that power 60+ apps and 400M+ users. You’ll manage ingestion, transformations, and Looker lookups on a modern Google Cloud stack, with an emphasis on AI-assisted tooling and scalable data models.

You’ll own data end-to-end—from Pub/Sub events to Looker explores—collaborating with product, marketing, and analytics.

Formación

• Solid programming fundamentals and clean, maintainable code.
• Fluency in English for cross-team communication.
• Bachelor’s or higher in Computer Science, Software Engineering, or related field.
• Strong SQL and at least one language (Node.js/TypeScript or Python).
• Experience building end-to-end data pipelines (ingestion, transformation, scheduling).

Responsabilidades

• Build and run data pipelines for mobile-app events and marketing-platform data.
• Write SQL and maintain warehouse models for analytics and BI.
• Optimize BigQuery performance with partitioning and clustering.
• Contribute to Looker/LookML semantic layer and PDTs.
• Collaborate with teams and ship AI-native data tooling.

Conocimientos

SQL

Programming fundamentals

English fluency

Node.js/TypeScript

Python

Educación

Bachelor's degree in Computer Science or related field

Herramientas

BigQuery

Looker/LookML

dbt

Airflow

Docker

Descripción del empleo

ABOUT CODEWAY

Codeway builds category-leading consumer AI apps on mobile and web, at global scale.

600M+ downloads. 60+ apps. 400+ builders across Barcelona and İstanbul. Completely bootstrapped. No board. Profitable since year two.

Small teams move faster than big ones. But they need big resources to win at scale. Nobody starts from zero. The problem decides the solution, not us.

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). Each has full ownership and the depth to go further than anyone else in its space.

Codeway HQ powers them all. One platform. One team that finds and grows builders. One set of guardrails. Every idea born here starts with an unfair advantage: the platform, the people, and the profits of every product before it. That's the system.

Turns out you can do both.

Move like an indie. Hit like a giant.

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 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.
• 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.
• Owning marketing-platform ETLs end to end, and the attribution and growth-KPI pipelines built on them.

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. 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 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/TypeScript and Python). We’ll teach the rest of our stack.

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.

THE RECRUITING PROCESS

• Application
• Case Study
• Talent & Culture Interview
• Tech Panel Interview
• Final Interview
• Offer