Data Engineer

Job not on LinkedIn

🕒 March 31

🇪🇸 Spain – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 76%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WayOps

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

💼 Consulting

🤖 Artificial Intelligence

Consulting • Artificial Intelligence

WayOps is a technology consultancy firm focused on the Digital, Data-driven and Cognitive Transformation of the enterprise. It offers a complete vertical portfolio including consultancy services, software solutions, and professional services. WayOps specializes in technologies like Cloud, Big Data, Artificial Intelligence, IoT, and DevOps, designing and developing end-to-end multidisciplinary solutions. The company employs certified professionals and upholds corporate values such as Confidence, Leadership, Excellence, Adaptability, and Resoluteness.

📋 Description

• Desarrollar código PySpark para la transformación de datos • Ingesta de datos y orquestación de procesos • Garantizar la calidad del dato • Participar en múltiples proyectos de Analítica Avanzada

🎯 Requirements

• 3-4 años de experiencia como Ingeniero de Datos • 1-2 años de experiencia en entornos Cloud (preferentemente Azure) • 1-2 años de experiencia en modelado de datos con herramientas como Lucidchart • Experiencia en orquestación de datos con herramientas como Data Factory • Colaboración en el desarrollo de cuadros de mandos con herramientas como Power BI • Experiencia previa en proyectos orientados a calidad del dato es valorable • Conocimientos y experiencia con CI/CD en Azure DevOps • Conocimientos en Machine Learning • Experiencia previa con tecnologías: Databricks, Azure, ETL, Azure DevOps, Analytics, Ecosistema Hadoop, herramientas como Visual Studio Code y Git • Se valorará positivamente experiencia o conocimientos en Azure Event Hubs, IoTHub, CosmosDB, Application Insights, Azure DevOps Pipelines, Repos, Test Plans, Artifacts, Machine Learning, Spark, Property Graphs

🏖️ Benefits

• Trabajo remoto preferentemente dentro del horario de oficina del cliente