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# Data Engineer

- **Company:** Kabilio
- **Location:** Barcelona, Spain
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon S3, Data Analysis, BigQuery, Data Governance, Python (Programming Language), Operational Data Store, Power BI, SQL Databases, Tableau (Software), Data Processing, Data Ingestion, Snowflake, Operational Systems, Looker Analytics, Data Pipelines
- **Published:** May 14, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=a54bc2481d350195

## About the Role

Do you have experience in Tableau?, * 2-5 years working as a Data Engineer, Analytics Engineer, or similar.

 * String SQL and analytical data modeling. You've contributed to a Warehouse or Lakehouse before, even if you didn't design it from scratch.
 * Hands-on experience building and maintaining ELT pipelines on operational data (product, sales, finance, etc.).
 * Comfort with the modern data toolbox: DuckDB/MotherDuck, dbt, S3, and at least one orchestrator (Airflow, Dagster) or warehouse (Snowflake, BigQuery).
 * Solid engineering judgment - you can reason about architectural trade-offs and push back on overengineering, even if you haven't led the call yet., * You're comfortable with ambiguity and want a role where ownership grows quickly.
 * You see this as the role where you go from doing senior work to being a senior.
 * Professional level Spanish, and English (B1 should be enough).
 * Above all, you're a reliable and trustworthy person

Nice to have

 * Working knowledge of Python for data processing, automation, or validation.
 * Exposure to BI tools (Looker, Metabase, Power BI, Tableau, Superset) and/or to data governance, observability, or cataloging.
 * Experience collaborating with ML or Data Science teams.

## Description

* Own the pipelines end-to-end. Build, ship, and maintain robust ELT pipelines that integrate operational systems and external tools. This is the part of the platform you'll fully own from day one.
 * Model the data the business will run on. Design the analytical models and datasets that power early reporting and product insights, and help make sure key metrics are defined consistently across the org.
 * Help us shape data quality and governance. Propose and implement pragmatic standards for testing, documentation, lineage, and observability - the kind a future data team will thank you for.
 * Bootstrap data culture. Until dedicated BI/DS roles are in place, you'll partner with Product, Engineering, and business teams to unblock decisions and seed the first analytics use cases.

Your first 6-12 months

We want to be honest about what this role looks like in practice, so you can decide if the trajectory excites you:

Month 1-3 -> You ramp up on our products and operational data, ship the first ingestion pipelines into a working warehouse, and deliver the first dashboards the team actually uses.

Month 4-9 -> You take ownership of the platform's day-to-day evolution: data models, transformations, monitoring, cost. You start co-leading architectural decisions with engineering leadership

Month 9-18 -> You're the senior owner of the data function: setting standards, mentoring the next data hires, and shaping how BI and Data Science capabilities grow on top of what you've built.


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