Data Engineering Jobs in Spain
There are 2,941 open Data Engineering jobs in Spain on freehire right now. 1,107 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 51%
- python 51%
- cloud 44%
- etl 31%
- aws 31%
- data-engineering 30%
- azure 27%
- analytics 27%
How the work is done
- Hybrid 342 · 12%
- Remote 164 · 6%
- Onsite 5 · 0%
Visa sponsorship offered in 60% of the 95 postings that state a position on it.
Seniority
- Senior 828
- Lead 156
- Junior 61
- Intern 30
- Middle 26
- Staff 24
Who is hiring
- 1000+ employees 406
- 501-1000 employees 218
- 51-200 employees 86
- 11-50 employees 22
- 201-500 employees 16
Senior Data Engineer - Cloud Data Lake & Streaming
Builds and maintains a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of daily messages for analytics.
Senior Azure Data Engineer — Cloud Data Architect
Designs and builds scalable Azure data pipelines using ADF and Databricks to ingest, process, and orchestrate data while enforcing governance and data quality.
ML Data Engineer - End-to-End Production Pipelines
Build and maintain end-to-end ML pipelines and production APIs for regulatory, clinical, and manufacturing data using Python, FastAPI/Flask, and MLOps practices in Madrid.
Senior Data Engineer (Databricks) — Data Platform Leader
Lead the design and development of ETL/ELT pipelines for a large-scale data platform using Databricks, ensuring data quality and collaborating with architects and analytics teams.
Data Engineer: End-to-End Pipelines & BI for Ecommerce
Build and maintain end-to-end data pipelines and BI dashboards for an ecommerce retailer using Databricks, PySpark, SQL, Python, and Power BI.
Remote Data Engineer - GCP & Cloud Platforms
Designs and evolves high-performance data platforms on Google Cloud Platform, building advanced analytics and digital-transformation pipelines.
Remote Data Engineer - AWS, ETL & Migrations
Design and build large-scale data migrations, ETL/ELT pipelines, and data quality controls using SQL, Python, and AWS for a global product team.
Data Engineer, Life & Health Reinsurance Analytics
Designs and maintains ETL/ELT pipelines for Life & Health reinsurance analytics, ensuring data accuracy and structure for actuaries and data scientists.
Revenue Ops Data Engineer - Onsite Madrid
Builds and maintains data pipelines to feed revenue analytics and strategic decisions using SQL, Python, and Databricks in a Madrid-based fintech team.
Real-Time Data Engineer - Madrid (Hybrid)
Designs and scales real-time data pipelines and systems using JavaScript and Python in a product-focused team.
Aviation Data Engineer: ETL, Datalake & Onboarding
Build and maintain a datalake and ETL pipelines to integrate airline data into SITA’s AI-powered Operations Control Center, ensuring data quality and governance.
Data Engineer - AWS, Big Data & AI (Hybrid)
Designs and builds data pipelines on AWS, processes large datasets with Python/SQL, and integrates AI components for enterprise projects in a hybrid role.
Remote Senior Data Engineer - AWS Cloud
Build and maintain cloud data platforms on AWS using Spark, Python, and data ingestion pipelines with batch and streaming processing.
Data Engineer - ICT & Fabric Data Solutions
Designs and builds data pipelines using Microsoft Fabric and Azure tools to integrate, secure, and govern data for analytics and reporting.
Data Engineer: ETL, Snowflake & Cloud Pipelines - Madrid
Build and maintain ETL pipelines, SQL workflows, and Matillion-based orchestration for a Madrid-based industrial multinational’s cloud data stack.
GCP Data Engineer: Scalable Pipelines & BI (Java/Scala)
Designs and builds scalable cloud data pipelines and BI integrations using Java/Scala, SQL, Talend, and GCP, with Vue.js front-end and Power BI dashboards.
Senior Databricks Data Engineer — Data Platform & Lakehouse
Build and optimize ETL/ELT pipelines, set up Data Lake/Warehouse/Lakehouse environments, and ensure data quality in a Databricks-based platform.
Senior Data Engineer: End-to-End Pipelines & Analytics
Build and maintain end-to-end data pipelines, models, and governance to power analytics and BI for product, marketing, and revenue teams using SQL, Python, dbt, Airbyte, and Airflow.