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
Lead Data Engineer
Lead Data Engineer defines data processes, ensures end-to-end traceability, and bridges business needs with technical teams in a banking client, using Airflow, PySpark, Kafka, and AWS.
Data Engineer: Build Pipelines in Snowflake & Databricks
Build and maintain data pipelines in Snowflake and Databricks, ensuring reliable data integrations and product telemetry for a global software company.
DATA ENGINEER (BECA)
Build and maintain data pipelines in Python and SQL to feed business analytics, create Power BI dashboards, and explore AI use cases for a brewery group.
Credit Data Engineer
Design and maintain Snowflake-based data pipelines and warehouses that feed credit risk models, analytics, and reporting for a global distributor’s credit function.
MDS Data Engineer
Build and optimize modern data pipelines using SQL, scripting, and cloud warehouses (BigQuery/Snowflake) to migrate legacy ETL/ELT systems and ensure scalable, high-quality data architecture.
Data Engineer ID52278
Design and scale high-performance ELT pipelines for a centralized data warehouse, collaborating with cross-functional teams to build a robust, scalable data platform.
Cloud Data Engineer
Designs and maintains cloud-based data pipelines and warehouses using Python, PySpark, SQL, and Databricks to power analytics and ML on Microsoft Azure.
Cloud Data Engineer
Build and maintain cloud-based data pipelines for a global fintech firm, using Python, Spark, and Azure to enable analytics and reporting.
Azure Data Engineer
Build and optimize Azure-based data pipelines and architectures, implementing scalable cloud solutions with Azure Data Factory, Databricks, and PySpark.
Graph Data Engineer
Design and build graph data models and ETL pipelines for a Metalake platform, using Neo4j, Cypher, and Graph ML to power organizational intelligence.
Azure Data Engineer
Build and optimize Azure-based ETL pipelines using Python, PySpark, and Azure Data Factory to migrate streaming data to batch storage in ADLS.
Lead Data Engineer
Lead a data engineering team to build scalable analytics pipelines and models for a large European automotive marketplace, using Python, Spark, Airflow, and SQL.
Data Engineer Intern: Build Pipelines & Insights
Build and optimize ETL pipelines, implement data quality checks, and support data infrastructure for A/B testing and statistical analysis at Procter & Gamble in Madrid.
Data Engineer Intern
Build and maintain cloud-based data pipelines using Azure services (Fabric, Synapse, Data Lake) and Python/SQL to turn raw data into insights for clients.
Data Engineer II
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Data Engineer MLE
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Data Engineer - Fabric & AI Pipelines (Hybrid)
Designs and builds data ingestion pipelines, lakehouses, and datasets in Microsoft Fabric and Power BI, using Spark notebooks and DevOps best practices.
Data Engineer Azure
Build and optimize Azure-based data pipelines and cloud architectures, using Azure Data Factory, Synapse, PySpark, and Medallion/Lakehouse patterns to move and transform data securely and at scale.
Data Engineer Databricks
Build and optimize scalable data pipelines on Databricks using the Medallion architecture, SQL, and PySpark to deliver modern data solutions for enterprise clients.