Security Data Engineer - Azure Data & Automation

Ernst & Young Advisory Services Sdn Bhd; Wrocław; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Continuous learning

Diverse culture

Global opportunities

Job summary

EY GDS Poland is seeking a Security Data Engineer to design and operate Azure-based data pipelines supporting multi-cloud environments. You will build scalable ETL/ELT, ingest data from diverse sources, and enable analytics and reporting for security teams.

You’ll work with Azure Data Factory, Databricks, Functions and Logic Apps, applying DevOps practices to ensure reliability and governance across enterprise platforms.

Qualifications

• 8+ years experience in Data Engineering or equivalent in large cloud environments.
• Strong knowledge of Azure data services, ETL/ELT, and data warehousing concepts.
• Experience with REST APIs and enterprise data onboarding and automation.

Responsibilities

• Design, build and maintain enterprise-scale ETL/ELT processes and Azure data integration frameworks.
• Develop data ingestion, orchestration and automation using Azure Data Factory, Functions, and Logic Apps.
• Create SQL-based pipelines, data models, dashboards and reporting solutions for security and compliance.
• Collaborate with cross-functional teams to onboard sources and deliver scalable data capabilities.
• Maintain data platforms with monitoring, automation, upgrades and cloud migrations.
• Produce technical docs, architecture diagrams and runbooks for data flows.

Skills

Azure Data Factory

Azure Databricks

Azure Functions

Logic Apps

SQL

Python

PowerShell

CI/CD

DevOps

Azure security concepts

REST API integrations

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

SQL Server

Power BI

Job description

EY GDS Poland is seeking a Security Data Engineer to design and operate Azure-based data pipelines supporting multi-cloud environments. You will build scalable ETL/ELT, ingest data from diverse sources, and enable analytics and reporting for security teams.

You’ll work with Azure Data Factory, Databricks, Functions and Logic Apps, applying DevOps practices to ensure reliability and governance across enterprise platforms.