Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior Data Engineer building and maintaining AWS data platforms, focused on data ingestion, processing, and pipeline orchestration in a hybrid setup from Madrid.
Senior Data Engineer at Ookla (Accenture) building large-scale data processing pipelines using Spark, Redshift, Athena, and Airflow, while mentoring juniors and collaborating with data scientists and product managers in Spain.
Design, build, and optimize modern cloud data platforms using Databricks, working across data ingestion, transformation, and modeling to deliver scalable solutions for analytics and AI initiatives.
Onsite Data Engineer in Madrid focused on Palantir Foundry, responsible for building scalable data pipelines, data models, orchestration, and governance at client sites.
The Senior Data Engineer will design, develop, and automate ETL processes and data models for a financial market risk project using Scala and Big Data technologies. The role is 100% remote within Spain.
The Data Engineer will develop and maintain data pipelines, implement ETL/ELT processes, and manage data models within Amazon S3 and Redshift. The role involves writing SQL, participating in code reviews, and supporting deployment cycles.
The Data Engineer will develop and maintain ETL/ELT pipelines, manage data in Amazon S3 and Redshift, and implement business logic using Python, SQL, and various data integration tools. The role involves working within an agile team to support data infrastructure, code quality, and system deployments.
The Data Engineer will design and implement Medallion architecture and develop data pipelines for ingestion, cleaning, and transformation using Microsoft Fabric for a logistics client.
Build and optimize clinical data pipelines using SQL, Databricks, PySpark, and AWS/Redshift to support clinical research and medical device studies at a diabetes-focused medical device company.
The Data Engineer will design robust data pipelines and lead SAP data migrations while collaborating with cross-functional teams to build scalable data solutions. The role focuses on maintaining ETL processes, ensuring data quality, and contributing to deployment automation.
This Senior Data Engineer role involves designing and managing large-scale data platforms, ETL pipelines, and governance frameworks for a leading AI and quantum software company. The position requires expertise in Python, SQL, cloud data platforms, and distributed processing frameworks like Spark to support AI and machine learning initiatives.
Build and maintain specification-driven web data extraction pipelines using Python, Scrapy, Playwright, and LLM-augmented approaches (LangChain, autonomous agents, MCP servers) to create a self-healing, component-based extraction platform.
The Data Engineer will design robust data pipelines and lead SAP migration initiatives while collaborating with cross-functional teams to deliver scalable data solutions on Azure or AWS.
SIEM & Security Data Engineer at a consulting firm, integrating log sources into SIEM platforms (Splunk, Elastic), designing parsers, normalizing security data, and automating processes across IT, Cloud, and OT environments on an international project.
Senior Data Engineer at Ookla building high-volume data processing jobs using Spark, Redshift, Athena, Iceberg, and Airflow to support data scientists and analysts working with global internet performance data.
The AI & Data Engineer will design and implement AI/ML solutions, including Generative AI projects, while managing data pipelines and ETL processes using Python within Azure or AWS cloud environments.
T-Maxx International is seeking a Data Engineer to design and maintain scalable data pipelines and ETL/ELT processes. The role involves optimizing SQL queries and managing data warehouses to support reporting and analytics.
The Senior Data Engineer will design and optimize scalable data pipelines to support analytics, machine learning, and reporting within a cloud environment. The role focuses on building production-grade data solutions using Spark-based technologies.
Build and maintain FinOps data pipelines and dashboards using DataBricks, Python, and cloud tooling at NN Digital Hub in Madrid, monitoring data quality and coaching business users in a hybrid, international setting.
Design and optimize scalable data pipelines integrating diverse data sources for clinical research and real-world evidence, collaborating with Clinical Research, Biostatistics, R&D, and Software Engineering using SQL, Databricks, PySpark, and AWS Redshift.
We couldn't check your fit for this role — add a CV to your profile to see it next time.