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
Data Engineer (Madrid/Barcelona)
Build and maintain scalable data pipelines in Databricks and dbt, automate infrastructure with Terraform and Kubernetes, and set up CI/CD using Azure DevOps for cross-functional teams.
Data Engineer – ENGIE (Madrid)
Builds Python tools and cloud-native apps on AWS to automate energy trading workflows and optimize data pipelines for traders.
Senior Data Engineer
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for an AI-powered fintech using Kubernetes, Airflow, and cloud platforms.
Senior Data Engineer
Senior Data Engineer builds and scales data pipelines and warehouses to power analytics products for restaurants using Python, SQL, dbt, Airflow, and cloud platforms.
Data Engineer Senior
Senior Data Engineer designing and building scalable Big Data solutions on AWS using Spark with Scala, optimizing large-scale data processing for an international project.
Senior Data Engineer
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Data Engineer - Fabric & AI Pipelines (Hybrid)
Designs and builds data pipelines and lakehouses in Microsoft Fabric and Power BI, using Data Factory, Synapse, and Spark notebooks.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud-based data pipelines and models for CRM and retargeting, using Spark, Python, and GCP/AWS/Azure to ensure clean, high-quality data for analytics.
AWS Data Engineer
Design and build scalable AWS data pipelines, integrating multiple sources with Python/PySpark and SQL to deliver clean, high-impact datasets for business teams.
Data Engineer AWS
Builds and maintains AWS-based data pipelines using Glue, Spark, Lambda, and S3 to move and transform data for analytics and reporting.
Remote Data Engineer — ETL & API Pipeline Architect
Design and maintain ETL/ELT pipelines and API integrations to unify data sources into a reliable foundation for analytics and business teams.
Data Engineer AWS
Build and optimize AWS-based data pipelines and warehouses using ETL, modeling, and cloud architecture to support analytics and decision-making.
Data Engineer
Build and maintain scalable data pipelines using Databricks, Azure Data Factory, and PySpark to process and transform enterprise data for analytics and reporting.
Azure Data Engineer
Design and build scalable Azure data pipelines and Lakehouse architectures using ADF, Synapse, PySpark, and Delta Lake, ensuring secure, governed data flows for enterprise clients.
Data Engineer – Data Mesh
Design and build a scalable Data Mesh architecture, defining data contracts and self-serve infrastructure while collaborating with domain teams to implement decentralized data ownership.
Cloud Data Engineer
Build and maintain cloud-based data pipelines and modern data platforms for a global financial firm, using Python, Spark, and Azure.
Data Engineer: Build Pipelines in Snowflake & Databricks
Build and maintain data pipelines in Snowflake and Databricks, integrating reliable data flows for analytics and product telemetry while collaborating with data scientists.
Senior Data Engineer
Build and scale a modern data platform using Databricks and Azure Data Factory to power advanced analytics, ML models, and near-real-time decision systems.