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 - Databricks on AWS + Terraform
Designs and operates secure, governed data platforms on AWS using Databricks, with Terraform and DevSecOps practices.
Data Engineer: Spark, Databricks & Cloud Lakehouse
Builds scalable data pipelines using Databricks, Spark, Airflow and Iceberg to power modern lakehouse platforms for Atos’ digital-transformation projects.
Senior Data Engineer: AI-Driven Data Apps (Remote)
Designs scalable data platforms and AI-driven data apps, ensuring robust observability and performance while collaborating with cross-functional teams.
Data Engineer - PySpark & Databricks for Banking
Build and maintain banking data pipelines using PySpark and Databricks in a Big Data environment.
Data Engineer | Big Data / Spark | Hybrid Madrid Banking
Builds and maintains big-data pipelines for a Madrid-based bank using Python, Scala, Spark, Airflow, and Kubernetes.
AI Data Engineer: Build Certifiable AI-Ready Pipelines
Senior data engineer builds AI-ready pipelines and data products, ensuring semantic annotation, quality scoring, and metadata management across on-premise and cloud environments.
JUNIOR DATA ENGINEER - ANALITYCS (Hibrido Madrid)
Build and maintain ETL pipelines with PySpark and cloud tools, write advanced SQL, and automate data workflows in a hybrid Madrid role.
Senior Data Engineer, Cyberdefense – Hybrid Barcelona
Senior Data Engineer building and maintaining robust data pipelines for a cyberdefense project, focusing on ETL/ELT processes and large-scale data workflows.
Remote Data Engineer for AI-Powered Analytics
Build and scale data pipelines and infrastructure for an AI-powered shopping assistant using SQL, Python, Snowflake, and Airflow.
AI / Data Engineer (m/f/d)
Design and build AI-driven data products and modern data architecture using Python, ML, and AWS to transform business processes and improve decision-making.
Senior Data Engineer - Customer Identity & Analytics
Senior Data Engineer builds and optimizes customer-identity data pipelines for ecommerce, using Python and Airflow to improve data reliability and matching accuracy.
R&D Data Engineer: Lakehouse & FAIR Data (Huelva)
Builds ETL pipelines and manages a lakehouse to turn scientific data into FAIR-compliant assets, supporting global R&D decisions at a climate-focused agri-tech company.
AWS Data Engineer | Lakehouse & ETL Specialist
Designs and implements AWS-based data pipelines and ETL/ELT workflows, building scalable Lakehouse architectures with Spark and infrastructure-as-code.
AI-First Data Engineer: Real-Time Data Platform
Build a real-time, AI-native data platform for self-service analytics and agent-driven decision support using streaming-first cloud infrastructure.
Senior Databricks Data Engineer - ETL & Data Platform Lead
Leads ETL pipelines and data platform architecture using Databricks and Spark, sets technical standards, and mentors teams.
Senior Data Engineer - Datalake & Derivatives Reports
Senior Data Engineer designs and migrates reports to a Datalake environment using S3, Databricks, and Hive, optimizing data workflows for reporting needs.
Senior Databricks Data Engineer - Flexible Hours & Remote
Designs, builds, and optimizes ETL/ELT pipelines in Databricks for a large telecom’s data lake, collaborating with architects, analysts, BI, and data-science teams.
Big Data Engineer: AWS, Spark & Kafka
Maintain and optimize a corporate data lake using AWS, Spark, Kafka, and Python, ensuring scalable data processing and performance.