Data Engineer

Quick Facts

• Role: Data Engineer
• Focus: Data platform for AI agents automating SOC processes with Azure Data Explorer and Microsoft Sentinel

Description

Design and build ingestion pipelines and query logic for a data platform that supports intelligent AI agents for SOC automation. Work with Azure Data Explorer, Microsoft Sentinel, KQL, and data integration flows, including data quality validation and threat-hunting use cases.

Responsibilities

• Design and build data ingestion pipelines in Azure Data Explorer, including data normalization and schema definitions for AI agents
• Write and optimize KQL queries used for alert enrichment, event correlation, and threat hunting
• Diagnose data and integration issues and extend existing integrations with new sources and APIs
• Onboard new log sources to Sentinel and ADX and perform ongoing input data quality validation
• Configure integration flows in Logic Apps and perform routing and transformations in Cribl
• Create Python scripts to automate pipeline tasks and API calls between systems

Requirements

• Minimum 4 years of commercial experience as a Data Engineer
• Knowledge of the Microsoft Azure ecosystem, including Microsoft Defender and Entra ID
• General IT security knowledge and basic TCP/IP networking
• Experience with SQL and Python in data pipeline contexts
• Strong practical knowledge of KQL and Azure Data Explorer (ADX)
• Very good English and fluent Polish

Benefits

• B2B project-based collaboration with stage-based billing and deliverable acceptance protocols
• Fully remote work
• Fast and remote hiring process
• Administrative and billing support via Connectis
• Participation in industry events and technology meetups