Security Data Engineer (Automation)
Security Data Engineer (Automation)
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1 Vacancy
Job Description
We are seeking a Security Data Engineer to drive the automation of our data pipelines dashboards and reporting infrastructure across a diverse set of security data sources. In this role you will play a critical part in reducing manual effort increasing data reliability and delivering timely actionable insights to security teams and stakeholders.
Your Key Tasks:
Automation & Engineering
- Automate end-to-end data extraction transformation and loading (ETL) processes from a variety of sources including databases APIs and third-party tools (e.g. Splunk Tenable).
- Build and maintain scalable fault-tolerant pipelines to collect normalize and enrich security data.
- Develop event-driven and scheduled data workflows to ensure timely delivery of critical security metrics and insights.
- Build automated classifiers scoring systems or recommendation engines that support threat detection vulnerability management or incident prioritization.
- Use large language models (LLMs) or embeddings where appropriate to enrich and interpret semi-structured log data.
Reporting & Dashboards
- Automate the generation and deployment of interactive dashboards and reports using tools like Apache Superset Grafana or similar.
- Ensure reports are updated in near real-time and designed to scale with growing data volumes.
Analysis & Insights
- Conduct exploratory data analysis to detect patterns anomalies and trends in security data.
- Translate complex datasets into automated alerts metrics and recommendations that support incident response and threat detection.
Stakeholder Enablement
- Collaborate with engineers security teams and internal stakeholders to identify manual reporting tasks that can be automated or streamlined.
- Customize automation solutions to align with stakeholder needs and business goals.
Documentation & Governance
- Maintain clear version-controlled documentation of data sources ETL pipelines and automation logic.
- Ensure automation processes meet internal security compliance and data governance standards.
Qualifications :
Background
- Bachelors or Masters degree in Computer Science Data Engineering AI/ML or Information Security.
- 5 years of experience in data engineering or backend development with hands-on automation experience.
Technical Skills
- Proficient in Python and/or Go with experience building scalable data systems and automation scripts.
- Strong knowledge of SQL data modeling and pipeline orchestration frameworks (e.g. Airflow Dagster).
- Familiarity with ML tools (e.g. scikit-learn XGBoost TensorFlow or LLM APIs) and their application to structured data.
- Experience with security data sources (e.g. SIEMs vulnerability scanners) and cloud platforms (OCI AWS Azure).
- Comfortable with version control CI/CD pipelines and containerized environments (Docker/Kubernetes).
Security & AI Awareness
- Solid understanding of cybersecurity principles and common data patterns in threat detection and response.
- Experience applying AI/ML in security contexts (e.g. anomaly detection risk scoring log classification) is a strong plus.
Soft Skills
- Clear communicator able to bridge the gap between technical implementation and stakeholder needs.
- Passionate about automation clean design and applying intelligent systems to solve real-world problems.
Additional Information :
We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.
In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.
We hire compensate and promote regardless of origin age gender identity sexual orientation or any other fantastic traits that make us all unique we have done our best to write this advert in an inclusive and neutral way.
Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies and any unsolicited candidate submissions will be exempt from any payment expectations.
#LI-Hybrid
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
