Cyber Security Specialist - Data & MLOps Engineer (f/m/d)

Deutsche Börse; Deutschland; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading financial market company in Germany is seeking a Data Engineer focused on cyber security. In this role, you will transform existing machine learning prototypes into robust data processes and contribute to various Information Security projects. The ideal candidate has a university degree, over 3 years of experience in data engineering, and expertise in modern engineering tools. This position offers opportunities for innovation in a fast-paced environment.

Qualifikationen

• 3+ years of experience in data engineering.
• Solid technical background in modern data engineering tools.
• Practical understanding of machine learning requirements.

Aufgaben

• Scale up and transform existing ML-powered use case prototypes into production-grade processes.
• Design and optimize data models for machine learning.
• Contribute to the development of machine learning models.

Kenntnisse

Data engineering

Cyber security

Machine learning

SQL

Kafka

Python

Ausbildung

University degree in Computer Science

Tools

Terraform

Docker

Kubernetes

GCP

Azure

Jobbeschreibung

Overview

Your area of work: In your new position, you will become a member of the Cyber Defense team, which is part of the department of Group Security. The Cyber Defense team is responsible for all aspects of Security Information and Event Management (SIEM), Computer Emergency Response (CERT), and Security Operations Center (SOC). In order to fully protect the information assets of DBG, Cyber Defense is aiming to achieve a proactive detection of threats and improve monitoring of DBG information assets to protect them from cyber-attacks effectively, dealing with implementation and maintenance a state-of-the-art SIEM/SOC tooling, architecture and use cases content in order to support establishing Cyber Defense as a center of excellence for threat intelligence.

Your focus will be on building robust, performant and compliant processes to extract, model and serve security-related data to the ML-based cyber security models. You will be transforming existing ML-powered case prototypes into production-grade processes. Besides that, you will support various Information Security related projects ensuring robustness and the state-of-the-art solutions following the regulatory requirements and the best industry practices.

Your responsibilities

• Scale up and transform existing ML-powered use case prototypes into production-grade processes.
• Design and optimize data models supporting machine learning-based cyber security use cases.
• Design and deploy production-grade ETL/ELT pipelines (batch / streaming).
• Use corporate blueprints (Terraform) to build compliant, robust and performant processes.
• Contribute to the development and optimization of machine learning models.

Your profile

• University or comparable degree in Computer Science, Information Security, Engineering or related discipline.
• Interest in cyber security related topics.
• 3+ years of experience in data engineering.
• Solid technical background and practical knowledge of modern data engineering tools (e.g. SQL, trino, MinIO, dbt, Kafka, Spark, databricks, REST API).
• Experience with cloud platforms (e.g. GCP, Azure).
• Practical understanding of machine learning requirements on data and the underlying processes.
• Experience with one or more of the following languages Python/Go/Java.
• Experience with automation and orchestration technologies (most relevant being: Terraform, Docker, Kubernetes).
• Be able to take responsibility and deliver results autonomously, sometimes under time pressure.