Senior Cybersecurity Data Engineer (Azure)

Quick Facts

• Hybrid role based in Krakow (minimum 6 days/month in office; up to 3 remote days/week)
• Focus: Cybersecurity Risk Quantification data engineering on Azure

Description

As a Senior Cybersecurity Data Engineer, you will support the Cybersecurity Risk Quantification team by building and managing a mathematical model that measures how improvements to the control environment reduce risk exposure. You will work within the Cyber Science & Analytics team to enable reliable data engineering and innovative capabilities through secure, governed analytics data pipelines.

Responsibilities

• Design, implement, improve, and support data flows and data-related technologies for analytics initiatives
• Build and maintain data pipelines and data buses collecting information from disparate internal and external sources
• Transport and deliver data to data warehouses and data lakes in required formats
• Apply advanced data manipulation for data availability and usability across pipelines
• Ensure data quality, security, and compliance with regulatory and system requirements
• Provide ongoing technical support to stakeholders
• Implement data governance controls: lineage, metadata, data quality rules, access controls, and retention policies

Requirements

• 5+ years of data engineering experience
• Experience deploying complex cloud data and big data systems
• Data engineering experience in the cybersecurity domain
• Proven ability to design, build, and maintain data pipelines and ETL workflows across disparate datasets
• Experience with Azure Data Factory, Azure Databricks, Azure Functions, Azure Logic Apps, Azure Monitor, Azure Log Analytics, Azure Data Lake Store, S3, Synapse Analytics, and/or Power BI
• Practical knowledge of Azure DevOps, Bash or PowerShell, Azure CLI, Python, Spark, SQL, Kusto Query Language, Git, and CI/CD systems
• Advanced understanding of data transport, data pipelining, data cleansing, and data quality
• Experience analyzing incoming datasets, understanding schemas, and deriving schemas when structures are not predefined
• Understanding of model lifecycle controls and experience working within data governance frameworks in a regulated environment
• Ability to communicate complex technical issues clearly to diverse audiences
• Fluent English
• Legal right to work in Europe

Benefits

• Hybrid work model with a minimum in-office presence and limited remote days per week