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
BigQuery Data Engineer for Scalable BI & Analytics
Designs and optimizes BigQuery data warehouses, builds scalable BI models, and automates pipelines with Python for a digital marketing company.
Azure Databricks Data Engineer | Lakehouse & Spark Expert
Design and build Azure Databricks-based Lakehouse pipelines and Spark ETL workflows to power analytics and BI, optimizing cloud data architectures for scale and quality.
Industrial Data Engineer: Azure, IoT & AI Analytics
Design and maintain cloud data pipelines and analytics platforms for food and beverage processing plants, enabling AI-driven predictive maintenance and operational insights.
Senior Data Engineer | Snowflake & dbt ELT Specialist
Designs and builds dbt models and optimizes Snowflake data pipelines for analytics workloads.
Data Engineer (ETL, Python) Teletrabajo- ref agm
Build and maintain ETL pipelines in Python and SQL to move and transform data, working with AWS services like S3 and Athena.
Senior Databricks Data Engineer — Hybrid & Global Platform
Build and maintain data platforms using Databricks, PySpark, and SQL, collaborating with global teams to deliver scalable cloud-based solutions.
Senior PySpark Data Engineer (AWS) - Remote, Long-Term
Senior Data Engineer designs and builds scalable PySpark and AWS data pipelines for Big Data processing in a fully remote, long-term project.
Data Engineer - Industrial Platform (Hybrid: 1 Day Remote)
Build and scale data infrastructure for a bioenergy company, ensuring data quality and governance with SQL, Python, Azure, and Databricks.
AI-Driven Data Engineer - Python & AWS - Hybrid
Build and maintain data pipelines using Python and AWS to support AI-driven analytics and solutions in a hybrid role.
Senior Data Platform Engineer - Scalable Pipelines
Build and maintain scalable data pipelines for analytics and product insights, handling batch and streaming workloads while collaborating with engineering and data teams.
Junior Data Engineer: Global Projects, Growth & Training
Build and maintain data pipelines for global clients, focusing on observability, data ingestion, and processing using Python, SQL, Docker, and Kubernetes.
Data Engineer – Hybrid AI & Cloud Analytics Specialist
Design and build cloud-native data pipelines on Azure, Databricks, and Snowflake for batch and streaming analytics, collaborating with cross-functional teams.
Senior Data Engineer - Snowflake, Python & ELT Expert
Build and maintain data pipelines, model data, and enable analytics using Snowflake, Python, DBT, and AWS while ensuring reliable data availability and quality.
Hybrid Senior Data Engineer — AWS, Snowflake & dbt
Design and maintain scalable cloud data platforms using Python, SQL, AWS, Snowflake, dbt, and Airflow to power analytics and BI.
Security Data Engineer: Exec Dashboards & Risk Insights
Build executive security dashboards and risk insights using SIEM, EDR, IAM, and DLP data to present to senior stakeholders.
SQL Server Data Engineer – ETL & Power BI
Designs and optimizes SQL Server data models, builds ETL pipelines to ingest ERP and other sources, and creates Power BI reports.
Senior Data Engineer — ETL, Python & Power BI
Designs and maintains ETL pipelines in Python/PySpark, builds Power BI dashboards, and owns the full data lifecycle from ingestion to governance.