Junior SIEM Data Engineer

Who we are looking for     We are looking for a Junior SIEM Data Engineer   reporting directly to the Cyber Data Engineering Manager  You will support the ingestion, validation, transformation, and documentation of cybersecurity telemetry and enterprise log data used for security monitoring, analytics, reporting, and incident response.   This is an early-ca reer role ideal for recent graduates or professionals with foundational experience in data engineering, cybersecurity, analytics, information systems, or related technical areas. You will work under the guidance of senior engineers to understand source data,   validate   data quality, document requirements, and support the delivery of reliable security data for downstream cyber analytics and detection use cases.     Why This   Role Is Important to Us   The team you will be joining is part of   Cyber Data & Analytics , a function that is vital to the company as it enables cybersecurity teams to make faster, data-driven decisions and strengthen the firm’s ability to detect, investigate, and respond to evolving cyber threats.   High-quality cybersecurity data is foundational to effective threat detection, incident response, risk reporting, observability, automation, and analytics.   This role helps ensure that enterprise security telemetry is   accurate , complete, searchable, and fit for   purposes   across cybersecurity platforms and data environments.     What you will  be responsible for   As Junior   SIEM Data Engineer   you will:   Support onboarding and validation of cybersecurity telemetry from enterprise applications, infrastructure, cloud services, endpoints, identity systems, networks, and security platforms.   Assist   with analyzing source data structures, log formats, field availability, timestamp patterns, and metadata requirements.   S upport data ingestion, transformation, enrichment, routing, and validation activities under the guidance of senior engineers.   Help   validate   data quality across raw, enriched, curated, and analytics-ready data layers.   Perform basic data checks for completeness, accuracy, freshness, schema consistency, duplicate records, timestamps, and field-level quali ty.   Use query languages and analytical techniques to search,   validate , compare, and troubleshoot security telemetry.   Assist   with identifying data gaps, missing fields, parsing issues, incorrect timestamps, routing issues, and inconsistencies between source and destination data.   Support documentation of data source requirements, field mappings, data flow diagrams, transformation logic, validation results, and operational runbooks.   Work with cybersecurity, infrastructure, cloud, application, and data engineering teams to understand data requirements and support issue resolution.   Participate in operational support activities such as ticket updates, issue tracking, testing, validation evidence, handoffs, and root cause documentation.   Support second-line troubleshooting for data engineering jobs, pipelines, and data delivery issues   impacting   cyber data platforms, under the guidance of senior engineers.

These skills will help you succeed in this role:   Strong analytical thinking, attention to detail, and willingness to learn security data engineering concepts.   Foundational understanding of data engineering, data analytics, cybersecurity, information systems, or cloud computing concepts.   Basic knowledge of data ingestion, transformation, enrichment, validation, data quality, and data documentation practices.   Ability to use query languages or scripting concepts to analyze,   validate , and troubleshoot data.   Strong communication , documentation, collaboration, and problem-solving skills, with the ability to work effectively with geographically distributed teams.         Education & Preferred Qualifications   Bachelor's degree in computer science , Cybersecurity, Information