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AI Data Engineer for Semantic Graphs & Retrieval (Hybrid)
The AI Data Engineer will design graph schemas, build semantic indexing systems, and manage AWS-based data infrastructure for enterprise AI. The role involves creating ontologies and implementing robust ETL/ELT pipelines using Python, SQL, and graph query languages.
Data Engineer | Gobierno de Datos en Snowflake + dbt
The Data Engineer will focus on data governance, quality, and transformation using Snowflake and dbt within the Granada office. The role involves collaborating with both technical and business teams to manage analytical data environments.
Data Engineer Analyst- 100% remote (Spain)
A data engineer focused on market risk analysis, transforming and mapping data for VaR calculations, managing workflows with Control-M, and optimizing SQL/PL/SQL processes to ensure data reliability in risk management.
Hybrid Data Engineer: Wedding Planning Pipelines
The Data Engineer will design, build, and maintain scalable data pipelines using Python, SQL, and dbt to support business analytics. This hybrid role involves collaborating with platform teams, mentoring peers, and ensuring data governance.
Senior Data Engineer AWS — Cloud Data Pipelines
Senior Data Engineer building cloud data pipelines on AWS—handling ingestion, processing, and orchestration with Spark, PySpark, and Spark SQL in a hybrid setup in Madrid.
Desarrollador/a Full-Stack (React/Python)
Full-stack developer on a platform integration project, building and maintaining React frontends and Python/FastAPI APIs that expose data pipelines, in a hybrid role in Málaga.
Senior Backend Engineer
Senior Backend Engineer at Grain to design and develop an advanced fintech hedging platform. Will build scalable, secure backend systems for financial workflows using technologies like Python/Java/Go/Node.js, SQL/NoSQL databases, cloud platforms (AWS/GCP/Azure), and microservices architecture.
DevOps Engineer on AWS | Hybrid Work & Growth
DevOps Engineer automating deployments and securing microservices architectures using AWS, CI/CD pipelines, and virtualization platforms, with database skills in Oracle/SQL Server, working in a hybrid setup.
Desarrolladores Backend Java/Spring Boot (Alcobendas)
On-site Backend Java/Spring Boot developers for a tech consultancy in Alcobendas (Madrid), building solutions for client digital transformation using Java 8/11/17, Spring Boot and SQL.
Grid Health- GTM Engineer
About Grid Health Grid Health is a venture-backed health-technology company on a mission to make it safe for healthcare to adopt AI. We build a clinical-AI governance platform that helps hospitals and health systems…
Manager, Material Planning
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st…
Full Stack Developer (.NET & Angular)
This role involves developing a big data platform for the maritime industry using C#, .NET, and Angular. The developer will design and maintain scalable web-based solutions while collaborating with cross-functional teams to ensure high performance and security.
Senior Demand Generation Manager (B2B)
Global-e (Nasdaq: GLBE) is the world’s leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets. Trusted by…
Business Analyst
At LifeStance Health, we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in mental…
Data Engineering Senior Manager
Lead a team to design, build, and scale a modern data platform for analytics and AI using cloud tools like BigQuery and Airflow, while ensuring security, governance, and team productivity.
Senior Data Engineer & Delivery Lead
The Senior Data Engineer & Delivery Lead will design scalable data pipelines, models, and dashboards while leading a team of engineers. The role requires expertise in Python, SQL, and cloud platforms like GCP, alongside experience with tools such as Spark, Airflow, and dbt.