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Knowledge Graph / Semantic Data Engineer
Madrid-based consultancy hiring a junior-mid Knowledge Graph / Semantic Data Engineer to design and deliver graph, ontology and semantic solutions on enterprise projects (MDM, Semantic Layer, Graph-RAG), including ETL/ELT pipelines, under a Senior Data Architect. Core stack: Neo4j/Neptune/Cosmos DB, Cypher/SPARQL/Gremlin, RDF/OWL/SHACL, AWS/Azure.
SENIOR SCALA/DATA ENGINEER
A senior data engineer role in Madrid focused on developing and maintaining ETL/ELT data pipelines using Scala, Apache Spark, and Kafka/streaming technologies, with strong SQL and Big Data architecture knowledge, working with Git and Agile methodologies.
Data Engineer — Databricks / PySpark
Data Engineer at a consulting firm's Data & Analytics practice, building and evolving large-scale data platforms, ETL/ELT pipelines and Data Lake/Lakehouse architectures using Databricks, Spark/PySpark, Python and SQL, mainly for large organizations and financial entities. 100% remote from Spain.
GCP Cloud Data Engineer: ETL & AI Pipelines
Data engineer on Kyndryl's Applications, Data & AI (ADAI) practice in Madrid, building scalable ETL and AI-enabling data pipelines and implementing modern cloud-native data platforms on Google Cloud Platform in enterprise environments.
AI & Data – Data Engineer
Buscamos un/a Data Engineer para incorporarse a un proyecto de integración de plataformas en Málaga, trabajando en un entorno tecnológico orientado al procesamiento y gestión de grandes volúmenes de datos. Funciones…
Data Engineer – Sector Financiero
JV CODE LAB is hiring a Data Engineer for a financial-sector project focused on Market Risk, hybrid in Madrid or Andalusian cities. The role centers on advanced SQL, ETL design, data preparation/validation, and process automation with Job as Code and Control-M; Spark/Scala and Big Data are a plus. Requires 2-3 years' experience and B2/C1 English.
Data Engineer (GCP) - 100% Remoto
Data Engineer working fully remote from Spain on international logistics and e-commerce data projects: designing scalable ETL/ELT flows, leading the Apache Airflow to GCP Dataform/BigQuery migration, building real-time event messaging with Pub/Sub, optimizing the BigQuery data warehouse, and supporting MLOps operations.
