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# Data Engineer

- **Company:** Making Science
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, BigQuery, Data Integration, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Visualization, Python (Programming Language), Package Development Process, Power BI, Oop Languages, Software Deployment, SQL Databases, Data Processing, Google Cloud, Feature Engineering, Google Data Studio, Information Technology, Looker Analytics, Serverless Computing
- **Published:** August 14, 2026
- **Apply:** https://www.jobleads.com/es/job/eac9de914c16a12ac226204a19abf7b13

## About the Role

* Proven experience working with Google Cloud Platform (and/or AWS, Azure) and its data ecosystem.
 * Airflow, Dataform, and Big Query
 * Experience with serverless technologies (Cloud Run, Cloud Functions).
 * Proficiency in SQL and Python for data processing and transformation.
 * Experience with data visualization tools such as Looker Studio or Power BI.
 * Undergraduate degree in Computer Science, Telecommunications, Mathematics or other technical field or equivalent years of experience.
 * 2/3 years of experience.

## Description

* Design, build, and maintain scalable data solutions using Google Cloud Platform (GCP).
 * Improve and scale the data model using Airflow, Dataform, Cloud Functions, and BigQuery.
 * Develop and deploy applications in serverless environments such as Cloud Run and Cloud Functions.
 * Build and optimize ETL/ELT processes to support data integration and transformation workflows.
 * Use SQL (BigQuery) for data modeling and feature engineering.
 * Develop robust data solutions in Python, applying OOP principles, package development, and data wrangling techniques.
 * Resolve data queries and provide technical support in the measurement of media and cc metrics.
 * Design and maintain reporting dashboards in Power BI and Looker.
 * Monitor and manage the integrity of daily and monthly data loading processes.


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