Data Engineering Jobs in Spain
There are 2,871 open Data Engineering jobs in Spain on freehire right now. 1,037 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 | 129 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 51%
- python 51%
- cloud 44%
- etl 31%
- aws 30%
- data-engineering 30%
- analytics 27%
- azure 27%
How the work is done
- Hybrid 334 · 12%
- Remote 156 · 5%
- Onsite 5 · 0%
Visa sponsorship offered in 59% of the 97 postings that state a position on it.
Seniority
- Senior 825
- Lead 155
- Junior 61
- Intern 30
- Middle 25
- Staff 23
Who is hiring
- 1000+ employees 400
- 501-1000 employees 211
- 51-200 employees 80
- 11-50 employees 22
- 201-500 employees 17
Senior Data Engineer
Senior Data Engineer builds and maintains AWS-based pipelines for vehicle telemetry data, ensuring quality and scalability to power fleet analytics and ML models.
Senior Data Engineer
Build and maintain scalable data pipelines and models for a media company, using SQL, Python, dbt, Airbyte and Airflow to power analytics and ML systems.
Senior Data Engineer
Design, build, and maintain scalable data pipelines and architectures using Python, SQL, Spark, and cloud platforms to enable analytics and data-driven decisions.
Junior Data Engineer
Build and maintain high-performance data pipelines for a real-time ad-tech platform, enabling ML models with clean, scalable data while working in a fast-paced engineering team.
Junior Data Engineer
Build and maintain ETL pipelines in Python/SQL to move and transform data for analytics and dashboards, ensuring quality and freshness.
Senior Data Engineer — Cloud Pipelines & Delta Lake
Senior Data Engineer builds and optimizes cloud data pipelines using Apache Spark and MongoDB to support digital-transformation projects in a multicultural team.
Data Engineer Junior
Build and maintain data pipelines for observability and security analytics using Python, SQL, and containerized tools like Docker and Kubernetes.
Standby-Flying Python Data Engineer, Cloud Pipelines
Senior Python developer builds and scales cloud data pipelines on GCP using Python, Kubernetes, and Terraform.
Senior Data Engineer
Build and own scalable data platforms and ETL pipelines for AI/ML and quantum-inspired optimization products, ensuring clean, versioned, and accessible datasets for analytics and AI workflows.
AI & Data Engineer
Design and build AI/ML solutions and data pipelines in Python, deploying them on Azure/AWS for Volkswagen’s mobility innovations.
Senior Data Engineer — Cloud Pipelines & Flexible Work
Senior Data Engineer builds scalable, high-performance data pipelines and solutions using Snowflake, SQL, and BI tools to drive efficiency for enterprise clients.
Senior Data Engineer
Senior Data Engineer designs, implements, and optimizes industrial data historian systems (e.g., AVEVA PI) and integrates them with control systems and third-party apps.
AWS Data Engineer
Build and maintain AWS-based data pipelines using Python, PySpark, and SQL to integrate, transform, and deliver clean, scalable data for business insights.
Senior Data Engineer
Build and evolve a global data platform using Microsoft Fabric, lakehouse architecture, and Azure, designing scalable pipelines and reusable data models for analytics and AI.
Senior Data Engineer
Build and optimize data pipelines for a fleet-management platform, processing vehicle telemetry with AWS and Databricks to power analytics and ML models.
Remote Data Engineer — ETL & API Pipeline Architect
Design and maintain ETL/ELT pipelines and API integrations to unify data from multiple sources into a reliable foundation for analytics and business teams.
PySpark Data Engineer
Senior PySpark Data Engineer builds and optimizes data pipelines in cloud environments (AWS/Azure) using PySpark, Hadoop, and SQL Server for clients across industries.
Data Engineer AWS
Build and optimize AWS-based data pipelines and warehouses using ETL, cloud architecture, and database systems to support analytics and decision-making.