Azure Data Engineer

Jobgether·UKmid

En corto

→Ingeniero de datos en Azure especializado en seguridad, procesando grandes volúmenes de telemetría de seguridad.
→Día a día: construir y mantener pipelines de ingesta, resolver problemas de datos, colaborar con equipos de seguridad y operaciones.
→Destacado: trabajo en entorno financiero regulado donde la integridad y seguridad de los datos son clave.

Bilingual (English required for collaboration and documentation)

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓3+ años de experiencia en ciberseguridad, ingeniería de datos o gestión de logs.
✓Experiencia hands-on onboarding, gestión y validación de fuentes de log en SIEM o plataformas en la nube.
✓Dominio de técnicas de parsing, normalización y transformación (regex, JSON, XML, CSV).
✓Conocimiento de telemetría de red, endpoint, identidad, aplicación y nube.
✓Experiencia con plataformas en la nube y sus servicios de registro y supervisión.
✓Capacidad para trabajar en entornos altamente regulados con requisitos de cumplimiento y auditoría.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Azure Data ExplorerLog AnalyticsSIEMAzureRegexJSONXMLCSVInfrastructure-as-CodeScripting

¿A quién escribirle en Jobgether?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Azure Data Engineer based in United Kingdom. This role offers the opportunity to strengthen cybersecurity operations by engineering reliable, scalable security data pipelines across cloud and on-premises environments. You will work with high volumes of security telemetry and help ensure critical data is available for threat detection, incident response, compliance, and cyber risk visibility. The position combines hands-on data engineering with cybersecurity, cloud technologies, automation, and data quality management. You’ll collaborate with application, infrastructure, security, governance, and vendor teams to onboard and optimize diverse data sources. The role is well suited to an engineer who enjoys troubleshooting complex ingestion challenges and improving system reliability and efficiency. You’ll operate in a highly regulated financial services environment where data integrity, security, and operational excellence are essential. This is an opportunity to make a direct impact on the organization’s ability to detect, investigate, and respond to cyber threats. Accountabilities: Design, build, and maintain scalable security data ingestion pipelines for SIEM and cloud data platforms, including Azure Data Explorer and Log Analytics. Parse, normalize, transform, enrich, and validate structured and unstructured security telemetry using regex, JSON parsing, schema mapping, and other data-processing techniques. Partner with application owners, infrastructure and cloud teams, vendors, security stakeholders, and other internal groups to onboard new log sources and validate end-to-end data flows. Ensure the integrity, completeness, timeliness, and quality of security telemetry used for monitoring, detection, incident response, reporting, and risk management. Align security data with established schemas, naming conventions, governance standards, and organizational requirements to support downstream analytics and automation. Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues across diverse platforms and environments. Maintain clear documentation covering log onboarding procedures, source requirements, data mappings, pipeline configurations, and operational support processes. Collaborate with detection engineering and security operations teams to ensure telemetry supports investigation, threat detection, response, and cyber risk use cases. Conduct telemetry gap analyses, identify missing or incomplete data sources, and recommend priorities for improving security coverage. Support logging practices that meet regulatory, audit, compliance, retention, and data-integrity requirements. Improve ingestion frameworks, automation, and onboarding processes to increase scalability, repeatability, reliability, and cost efficiency. Support infrastructure-as-code, scripting, and automation initiatives that streamline deployment and ongoing pipeline maintenance. Monitor pipeline performance and work with stakeholders to optimize ingestion reliability, throughput, and operational costs. Stay current with emerging cybersecurity telemetry formats, logging standards, data engineering practices, and cloud security data-platform capabilities. Requirements: 3+ years of relevant experience in cybersecurity, data engineering, log management, security operations, or a related technology discipline. Hands-on experience onboarding, managing, and validating log sources within SIEM, cloud data platforms, or security analytics environments. Strong understanding of data parsing, normalization, transformation, and validation, including experience with regex, JSON, XML, CSV, and both structured and unstructured data. Familiarity with security telemetry from network, endpoint, identity, application, cloud, and infrastructure environments.

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