Security Management - Data Engineer

Ernst & Young Advisory Services Sdn Bhd; Wrocław; On-site; 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

Location: Wrocław - 2 days in office / 3 days remote

Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY.

Today’s world is fueled by vast amounts of information, which means that data is even more valuable than ever before. Protecting data and information systems is central to doing business, and therefore everyone in EY Information Security has an important role to play. Join a global team of almost 1200 people who collaborate to support the business of EY by protecting EY and client information assets. Information Security professionals enable EY to work securely and deliver secure products and services, as well as detect and quickly respond when things go wrong. Together, the efforts of our dedicated team help protect the EY brand and build client trust.

Within Information Security we blend risk strategy, digital identity, cyber defense, application security and technology service solutions as we consider the entire security lifecycle. You will join a team of hardworking, security-focused individuals dedicated to supporting, protecting, and enabling the business through secure solutions and information systems.

The opportunity

As a Security Data Engineer within Security Technology Services (STS), you will join a global team responsible for engineering, integrating and enhancing security data platforms that support EY’s multi-cloud and on-premises environments.

You will develop scalable data ingestion, integration, automation and analytics capabilities that provide centralized visibility across multiple security, and operational technology platforms. Working across Azure, you will use modern cloud-native services and ETL frameworks to onboard, transform, enrich and analyze enterprise data.

The role will also design and support Azure-based data pipelines, automation solutions and reporting capabilities using Azure Data Factory, Azure Databricks, Azure Functions, Logic Apps, and SQL technologies to improve operational efficiency, data quality and decision-making.

You will support the implementation and ongoing management of SaaS applications and enterprise security technologies used by Information Security teams globally. This includes partnering with Security Architects, Service Delivery, Security Operations, Engineering teams and business stakeholders to deliver secure, scalable and data-driven solutions, while providing technical guidance for complex integrations.

Your key responsibilities

• Design build and maintain enterprise-scale ETL/ELT processes and Azure data integration frameworks across multiple cloud environments (primarily Azure) from both security and enterprise tools
• Build and support data ingestion, orchestration and automation solutions using Azure Data Factory, Azure Functions, Logic Apps and related Azure services.
• Collect, transform, validate, enrich and analyze data from enterprise systems, cloud platforms, APIs, SaaS applications and third-party technologies.
• Develop SQL-based data pipelines, database objects, stored procedures, data models, dashboards and reporting solutions for business, compliance and security needs.
• Partner with cross-functional teams to onboard data sources and deliver scalable integration, automation, reporting and analytics capabilities.
• Support enterprise data platforms through performance tuning, troubleshooting, monitoring, automation, upgrades, cloud migration, change management and continuous improvement.
• Maintain technical documentation, architecture diagrams, operational procedures, support runbooks and data flow documentation.
• Work across multi-cloud environments with Microsoft Azure as the primary platform

The successful candidate will have :

• Experience with Azure Databricks, data warehousing, data lake architecture and Azure native data platforms for large-scale transformation and analytics.
• Exposure to Microsoft SQL Server technologies including SSDT, SSRS, SSIS, relational databases, stored procedures and reporting frameworks.
• Experience developing REST API integrations and consuming web services for enterprise data onboarding and automation.
• Familiarity with Infrastructure-as-Code, DevOps, CI/CD, cloud automation and deployment automation practices.
• Experience with, integrating large amounts of security data across multiple cloud environments (primarily Azure) from both security and non-security
• Experience implementing monitoring and alerting for cloud services, data pipelines, integrations and automation workflows.
• Knowledge and exposure to Azure AI Foundry/Azure OpenAI a plus.

Skills and attributes for success

We are looking for individuals with practical experience working as a Data Engineer in a large Azure global environment with strong knowledge in analytics and reporting

The successful candidate will have:

• Strong understanding of data engineering principles, including ETL/ELT, data modelling, transformation, lifecycle management, master data management, data warehousing, data lakes and enterprise data architecture.
• Experience designing scalable, resilient and secure Azure-native data ingestion, integration, automation, analytics and reporting solutions.
• Hands-on experience with Azure Data Factory, Azure Functions, Logic Apps, Storage Accounts, Azure Key Vault, Azure Monitor, Azure App Services and related integration services.
• Strong SQL and data analysis experience across relational databases, SQL Server technologies, stored procedures, reporting frameworks and analytics platforms.
• Ability to work with structured, semi-structured and API-driven data from cloud platforms, SaaS applications, enterprise systems and security technologies.
• Proficiency in Python, PowerShell or similar scripting languages for automation, cloud operations, data transformation, monitoring and systems integration.
• Strong understanding of Azure cloud security concepts including identity and access management, secrets management, encryption, authentication, authorization, secure API integration and governance.
• Experience developing automated workflows that improve efficiency, data quality, compliance monitoring, platform resilience and service reliability.
• Knowledge of DevOps practices including CI/CD, source control, deployment automation, environment management and release processes.
• Strong troubleshooting and root cause analysis skills across cloud platforms, databases, APIs, data pipelines, automation workflows and enterprise applications.
• Experience integrating large amounts of data from various SaaS and OnPrem platforms and tools into centralized platforms for reporting, analytics, governance and decision‑making.
• Ability to collaborate across engineering, infrastructure, operations, security, architecture and business teams to deliver end‑to‑end technical solutions.
• Strong communication, stakeholder management and consulting skills, with the ability to translate technical concepts into business value.
• Continuous improvement mindset with a focus on automation, optimization, operational excellence and emerging cloud technologies.
• Knowledge and exposure to Azure AI Foundry/Azure OpenAI a plus.
• Knowledge of creating and maintaining Power BI dashboards/reports.

To qualify for the role, you must have

• Detailed knowledge of Azure cloud data engineering, enterprise integrations, data platforms, database technologies, networking fundamentals, API‑based architectures and scripting languages.
• Hands‑on experience with Azure Data Factory, SQL development, ETL/ELT frameworks, data integration patterns, cloud automation and enterprise reporting solutions.
• Experience designing, supporting and troubleshooting enterprise‑scale cloud data platforms, integrations and analytics solutions for operational, compliance or security use cases.
• At least 8 years of experience in Data Engineering,
• 3+ years of demonstrated engineering experience in large, global and virtual enterprise environments.
• Strong understanding of Azure cloud technologies, enterprise integrations, and data architecture.
• Excellent time management, organizational and decision‑making skills.
• Ability to document processes, procedures, architecture designs, data flows and technical solutions clearly for internal teams and customers.
• Experience working with external vendors and suppliers across technology services.
• Technical proficiency with APIs, automation frameworks and scripting technologies such as Python, PowerShell, Ansible or similar platforms.

Ideally, you’ll also have

• A bachelor’s degree in computer science, Engineering, Information Technology, Mathematics or a related field, or equivalent work experience.
• Microsoft Azure or technology certification programs.
• Experience in project management, service introduction, service readiness, and technology lifecycle management.

What we look for

This role is ideal for someone with strong problem‑solving, analytical, decision‑making and communication skills.

We are looking for individuals who work effectively with culturally diverse onshore and offshore teams, navigate ambiguity with confidence and balance security, cloud engineering, data engineering and operational priorities.

Independent thinkers with strong technical foundations, collaborative mindsets and a commitment to automation and continuous improvement will thrive in this role.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well‑known brands from across the globe. We’ll introduce you to an ever‑expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About EY

EY | Building a better working world

EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The exceptional EY experience. It’s yours to build.

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