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
Data Engineer ETL (PENTAHO)
Builds and maintains ETL pipelines with Pentaho and SQL to move and transform data, then creates BI reports and dashboards for business users.
Senior Data Engineer — Remote & Flexible Hours
Design and maintain reference data patterns on a centralized Databricks platform for the air transport industry, using Databricks, AzureML, and LLMs to support analytics and AI/ML use cases.
Data Engineer (Azure & Modern Data Platform)
Design and build scalable cloud data pipelines using Azure Data Factory and Databricks, then model and optimize datasets for Power BI analytics and reporting.
Senior Snowflake Data Engineer — Remote/Hybrid
Design and optimize Snowflake-based data pipelines and models, ensuring reliable data delivery for business teams in a hybrid/remote setup.
Data Engineer: Build Trusted Pipelines in a Global Team
Build and maintain data pipelines using Snowflake and Databricks to ensure reliable data integrations for a global team.
Senior Azure Data Engineer - Remote (Spain)
Designs, optimizes, and builds Azure data pipelines and architectures for an international client, leveraging Azure services and Power BI.
Senior Data Engineer: Lakehouse & Real-Time Pipelines
Design and evolve a modern data platform using Databricks to build scalable Lakehouse pipelines and real-time analytics for ML and decision systems.
GCP Data Engineer — Build Scalable ETL Pipelines
Build and optimize GCP-based ETL/ELT pipelines using BigQuery and Dataflow for enterprise clients in Spain.
Data Engineer: Microsoft Fabric & Azure Pipelines (Hybrid)
Builds and maintains end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, and Spark/Databricks for batch and near real-time analytics.
Data Engineer: Big Data & Looker Studio - Remote
Builds and optimizes big-data pipelines in Python, transforms raw data into business-ready datasets, and creates dashboards in Looker Studio.
Senior Financial Data Engineer — Remote, Reconciliations
Builds and maintains scalable financial data pipelines and automated reconciliations to support month-end close, credit control, and working capital reporting.
Data Engineer – Vulnerability Data Platform (Hybrid)
Build and maintain a distributed data pipeline for a vulnerability management platform, processing large datasets in near real-time using PySpark, Airflow, dbt, and AWS.
AI Data Engineer
Build AI-ready data pipelines and domain products in Microsoft Fabric and Snowflake, focusing on semantic annotation, vector stores, and RAG foundations for enterprise reuse.
Senior Data Engineer – Skalierbare Pipelines & Self-Service
Build and maintain scalable data pipelines and CI/CD infrastructure to enable self-service analytics for internal customers using Python and cloud technologies.
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.