Data Engineering Jobs in Spain
There are 2,872 open Data Engineering jobs in Spain on freehire right now. 1,036 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 826
- 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
Data Engineer: AWS/Azure Pipelines & PySpark Expert
Build and maintain robust data pipelines in AWS or Azure using PySpark and Python, ensuring high performance and reliability while collaborating with Data and AI teams.
Data Engineer
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in an Agile environment. The role requires proficiency in both Spanish and English.
Senior Data Engineer
Senior Data Engineer builds and maintains large-scale AWS data pipelines for an insurance client using Python, Snowflake/Databricks, and ETL/ELT workflows.
SIEM Data Engineer
The SIEM Data Engineer will manage log stream processing and integrate security data into SIEM platforms like Splunk or Elastic. The role involves defining data models and parsers while collaborating with international security and IT operations teams.
AWS Data Engineer
Builds and maintains data pipelines, ETL/ELT processes, and data models on AWS (S3, Redshift) to ingest, transform, and analyze structured/unstructured data, collaborating with cross-functional teams to ensure data quality and operational efficiency.
Data Engineer (Palantir)
Keepler is seeking a Data Engineer to implement data models, orchestration flows, and governance strategies using PySpark and Palantir Foundry. The role requires on-site work at client offices and involves managing the full data lifecycle from ingestion to final application delivery.
Data Engineer - Syntonize
Syntonize is looking for a Data Engineer to design and maintain scalable data pipelines using AWS or Azure, PySpark, and Python. The role involves processing large volumes of data and collaborating with a team focused on software engineering, data, and AI.
Senior Data Engineer: Data Products & AI Pipelines
Builds and maintains scalable data pipelines and AI-enabled features using Python, Databricks/Spark, and Azure to power business software.
Data Engineer - dbt & Snowflake Pipelines
Designs, builds, and optimizes dbt and Snowflake data pipelines to migrate Oracle systems and support customer analytics.
Data Engineer
Build and optimize large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets.
Data Engineer (GCP) — Cloud Pipelines & Web Data
Builds scalable GCP data pipelines and collaborates on web apps to deliver reliable data solutions for clients.
AWS Data Engineer: Pipelines, Redshift & BI (Hybrid)
Builds and maintains data pipelines for ingestion/transformation using AWS, S3, Redshift, and BI tools to turn raw data into actionable insights for business teams.
Data Engineer: Big Data Pipelines (Spark/Scala) Hybrid
Designs and maintains Spark/Scala-based data pipelines and platforms, migrating Hadoop workloads to cloud while ensuring data quality and performance for BNP Paribas Personal Finance’s global data products.
Senior Data Engineer — AI Data Pipelines & Systems
Designs, builds, and scales AI data pipelines and systems for information verification, owning end-to-end data workflows across backend and infrastructure layers in a fast-growing AI startup.
Data Engineer: ML & AI Data Pipelines (Hybrid)
Designs and builds scalable data pipelines to feed ML and generative-AI systems in a cloud-based, hybrid work environment.
AWS Data Engineer: ETL & Data Warehousing in Hybrid Role
Builds and maintains data pipelines for ingestion and transformation, focusing on AWS, S3, and Redshift to process and store data efficiently.
AWS Data Engineer - Hybrid, Flexible Hours, Data Pipelines
Builds and maintains data ingestion/transformation pipelines on AWS using Python, PySpark, and Redshift, collaborating with architecture, visualization, and business teams to optimize processes.
Senior Data Engineer — AWS Cloud & Data Pipelines
Build and maintain cloud-based data platforms on AWS, focusing on data ingestion and processing pipelines using Spark, Python, and AWS services.