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
Senior Data Engineer (M/F)
Designs and maintains scalable data pipelines on Azure, automating ingestion, cleansing, and transformation while ensuring data quality and security for an international project.
Senior Data Engineer — Microsoft Fabric & Azure
Drives migration to modern analytics platforms using Microsoft Fabric, transforms legacy systems, develops automation scripts, and collaborates with international teams in a hybrid setup in Barcelona.
Azure Databricks Data Engineer
Migrates financial stock valuation data from Teradata to Google Cloud using Azure Databricks, building reporting simulations in an agile fintech environment.
Aws Data Engineer
Designs and automates end-to-end data pipelines integrating heterogeneous sources (internal/external) to build key dashboards for sales analysis in a food/beverage client’s digital transformation project.
Senior Data Engineer
Senior Data Engineer maintaining and evolving a corporate Data Lake framework on AWS, building batch and streaming pipelines with Spark, Python, Kafka, and SQL.
Senior Data Engineer
Senior Data Engineer building cloud data platforms on AWS, working with Spark, Python, SQL, and various AWS services for data ingestion and pipeline orchestration.
Azure Databricks Data Engineer - Remote
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
Contract Data Engineer - Madrid
Data Engineer designing and building data pipelines with PySpark, Python, SQL, and AWS, orchestrated via Airflow and containerized with Docker/ECS, based on-site in Madrid for a 12-month contract.
Data Engineer - València
Build and maintain Big Data pipelines using PySpark, Spark Streaming, Kafka, and AWS, including ETL/ELT processes and real-time data processing on a 100% remote basis.
Data Engineer - Barcelona
Builds and maintains scalable data pipelines using Modern Data Stack tools like Snowflake and dbt, optimizing data platforms for AI-driven projects and digital transformation.
Senior Pyspark Data Engineer — Scalable Pipelines | Remote - Remote
Build and scale high-performance PySpark data pipelines on Databricks to power Lookiero’s personalized fashion-shopping platform, using Python, Delta Lake, and MLFlow.
Data Engineer
Data Engineer at ALTEN Spain working with GCP, SQL, Python, and DBT in a hybrid setup in Madrid, building scalable data solutions for client projects.
Platform Data Engineer – Cloud Infra & Data Pipelines - Remote
Builds and maintains scalable cloud data infrastructure and pipelines for a fintech company using AWS, Kubernetes, and data tools.
Platform Data Engineer – Cloud Infra & Data Pipelines - €50.000 A Year - Remote
Data Engineer building scalable, secure data storage and database platform solutions on AWS using Docker, Kubernetes, Terraform, dbt, and Airflow within N26's Platform Engineering team.
Data Engineer
Data Engineer with 3-5 years of experience working on SAP BW, BW/4HANA, and BI/Data Warehouse projects for consulting clients.
Data Engineer
Design, build, and maintain scalable data ingestion and transformation pipelines using Databricks, Python, PySpark, and SQL in cloud environments to support analytics and AI initiatives.