Data Engineering Jobs in Spain
There are 2,965 open Data Engineering jobs in Spain on freehire right now. 1,128 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €39,000 | €45,000 | €65,000 | 125 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 52%
- python 51%
- cloud 44%
- etl 32%
- aws 31%
- data-engineering 31%
- azure 27%
- analytics 27%
How the work is done
- Hybrid 342 · 12%
- Remote 165 · 6%
- Onsite 5 · 0%
Visa sponsorship offered in 60% of the 96 postings that state a position on it.
Seniority
- Senior 834
- Lead 156
- Junior 61
- Intern 30
- Middle 27
- Staff 24
Who is hiring
- 1000+ employees 408
- 501-1000 employees 218
- 51-200 employees 85
- 11-50 employees 22
- 201-500 employees 18
Azure Data Engineer — Cloud Pipelines & Lakehouse (Hybrid)
Designs and optimizes Azure-based data pipelines and lakehouse architectures using Data Factory, Synapse, and Delta Lake for secure, efficient data workflows.
Databricks Data Engineer: End-to-End Pipelines
Build end-to-end data pipelines using Python and PySpark on Databricks for a Big Data environment.
Standby-Flying Python Data Engineer, Cloud Pipelines
Senior Python developer builds and scales cloud data pipelines on GCP using Python, Kubernetes, and Terraform.
Data Engineer/Analyst PowerBI
Builds and maintains data pipelines in PL/SQL and Python to feed analytics and reporting, ensuring data quality and performance for a luxury retail company.
Data Engineer/ Analyst- LookML
Designs and manages multi-instance Looker architectures (dev/pre/prod) for a digital transformation team, optimizing LookML/SQL in BigQuery, and ensuring data governance, CI/CD pipelines, and cost-efficient query performance to drive business decisions.
Earth Observation Data Engineer
Develop and maintain data ingestion and processing pipelines for satellite and Earth Observation data using Python in Linux environments.
Senior Data Engineer — Cloud Pipelines & Delta Lake
Designs and optimizes cloud-based data pipelines using Apache Spark and MongoDB for digital-transformation projects in a multicultural team.
Data Engineer — Build Scalable Pipelines & Cloud Migrations
Build and maintain scalable data pipelines and cloud migrations using Spark, Scala, Hadoop, and Kubernetes for a data platform with strong uptime and documentation.
Data Engineer Remoto y Horario Flexible - Pipelines en la Nube
Build and maintain cloud-based data pipelines using ETL/ELT, SQL, Python, dbt, Airflow and Spark in a flexible, autonomous role.
Data Engineer: Pipelines, Lakehouse y CI/CD en la Nube
Builds and maintains cloud-based data pipelines, lakehouse storage, and CI/CD for an edtech company, ensuring data quality and security for analytics and AI.
Data Engineer: Build Scalable Pipelines in Cloud
Build and maintain scalable data pipelines on cloud platforms like GCP, AWS, and Azure using Databricks.
Remote Data Engineer Intern: Build Scalable Pipelines
Build and maintain scalable data pipelines in Google Cloud using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake to enable reliable data ingestion, transformation, and analytics.
Operational Excellence Data Engineer
Builds and maintains data pipelines and SQL queries to track supply-chain defects and delivery performance, enabling real-time analytics and process improvements for Amazon’s EU inbound logistics.
Data Engineer – Data Products (Remote/Hybrid, Cloud)
Build and maintain scalable data pipelines in cloud (GCP/Azure) to turn analytical models into reliable, high-quality data products for end-users.
Data Engineer: Real-Time Pipelines & AI Insights
Builds and maintains batch and real-time data pipelines in Python and SQL to power a data-centric platform for digital sovereignty across Europe.
Senior Data Engineer — Remote, Build Data Platform
Build and maintain real-time data platforms for trading and research, focusing on ingesting, normalizing, and serving market data with reliability and self-service tooling.
AWS Data Engineer: ETL Pipelines, Redshift & BI
Build and maintain data ingestion and ETL/ELT pipelines using Python, PySpark, and Spark, then deliver analytics via Redshift and BI tools.
Climate Data Engineer: Build Scalable Pipelines & AI
Build and maintain scalable climate data pipelines and Python software for risk products using large geospatial datasets.
Data Engineer - Industry Sector
Build and maintain ETL pipelines, SQL tables, and cloud-based data workflows using Matillion and Snowflake to feed analytics and reporting for an industrial multinational in Madrid.