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
Remote GCP Data Engineer: Scalable Data Pipelines
Designs and builds scalable GCP data pipelines for clients, defining cloud architectures and leading data ingestion/transformation processes.
Data Engineer: Build Scalable Data Pipelines in Cloud
Build and optimize scalable, multi-cloud data pipelines using SQL, Python, and ETL/ELT tools while collaborating with clients and internal teams.
Senior Data Engineer — AI-Powered Data Pipelines
Build and maintain AI-powered data pipelines and warehouse systems in Snowflake to feed Emburse’s SaaS analytics and data science platforms.
Junior Data Engineer – Mobile Apps & Cloud Data Pipelines
Build and maintain cloud data pipelines on GCP and Databricks, using BigQuery, Airflow, dbt, and Dataflow to feed dashboards and experiments.
Senior Data Engineer: Fleet Data Pipelines & Analytics
Senior Data Engineer builds and scales cloud pipelines that ingest vehicle data and feed analytics and ML models for fleet management at ZF’s Aftermarket Digital Solutions.
Senior Data Engineer — Cloud Data Pipelines & AI (Aviation)
Designs and maintains cloud data pipelines and reference data patterns for an aviation industry platform, enabling scalable analytics and ML use cases with tools like Databricks and AzureML.
Databricks Data Engineer | Build Scalable Data Pipelines
Build and optimize scalable data pipelines on Databricks using Spark/PySpark and Medallion architecture for modern data platforms.
AWS Data Engineer: Build Data Pipelines & Redshift
Build and maintain AWS-based data pipelines that ingest and transform structured data into Redshift using PySpark, SQL, and ETL/ELT tools.
Data Engineer: AI-Driven Data Pipelines (Hybrid)
Designs and optimizes scalable data pipelines and architectures for AI and ML initiatives in a hybrid role.
Intern Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines on Google Cloud using Terraform, automating infrastructure and enabling insights via BI dashboards.
AWS Data Engineer — Data Pipelines & Data Lake (Madrid)
Designs and maintains AWS-based data pipelines and optimizes data lake processes for an AI-focused product team in Madrid.
Data Engineer – Azure Pipelines & Data Lake
Designs and maintains Azure Synapse data pipelines and Data Lake architectures, writes Python ETL processes, and models data for renewable-energy analytics.
Data Engineer - AWS Data Pipelines & Data Mesh
Builds and maintains AWS-based data pipelines and data mesh architectures using Spark/Scala, Python, and SQL to support scalable data solutions.
Senior Data Engineer: PostgreSQL + Java Data Pipelines
Designs and maintains PostgreSQL and ElasticSearch infrastructure, builds data pipelines, and ensures high-quality data accessibility for a payment service provider.
Data Engineer: AI‑Driven Data Pipelines & Products
Build and maintain AI-driven data pipelines and products for a hospitality-focused tech company using Python and cloud databases like BigQuery.
GCP Data Engineer: Data Pipelines & Analytics
Designs and builds GCP-based data pipelines and analytics solutions for end-to-end client projects, using SQL and ETL tools.
Senior Data Engineer - Remote, Scalable Data Pipelines
Build and maintain scalable data pipelines in cloud environments like AWS or GCP using Databricks and software engineering best practices.