data engineer for industrial automation

Rockwell Automation, Inc.; Katowice; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Volunteer time off

Charitable donations match

Professional development courses

Wellbeing programs

Employee assistance program

Job summary

Rockwell Automation рассматривает вакансию инженера по данным в Катове для разработки и поддержки масштабируемых конвейеров данных, интегрирующих ERP, CRM и финансовые системы. Вы будете строить модели данных, хранилища и семантические слои для требований отчетности и аналитики Power BI.

Обязанности включают ELT/ETL, работу с облачными архитектурами, обеспечение качества данных и совместную работу с BI-аналитиками. Требуется 4+ года опыта, знание SQL и Azure Data Platform.

Qualifications

• 4+ года опыта в области инженерии данных и архитектуры.
• Опыт работы с SQL и проектированием реляционных БД.
• Опыт разработки ETL/ELT-процессов и облачных платформ Azure.
• Опыт поддержки Power BI и семантических слоев данных.
• Понимание API-интеграций и DevOps-практик.

Responsibilities

• Проектирование и поддержка масштабируемых конвейеров данных.
• Построение моделей данных, хранилищ и семантических слоев.
• Разработка ELT/ETL и обеспечение качества данных.
• Поддержка облачных архитектур и аналитики в Power BI.
• Сотрудничество с BI-аналитиками и разработчиками.

Skills

Data pipelines

SQL

Data architecture

ETL/ELT

Azure Data Platform

Power BI

Data modeling

APIs

DevOps practices

Data governance

Tools

Azure Data Factory

Azure Synapse

Azure Databricks

Microsoft Fabric

Dataverse

Azure SQL

Power BI (semantic models)

Job description

Описание: Rockwell Automation is a global technology leader that helps manufacturers improve productivity, sustainability, and agility.

Задачи:

• Design and maintain scalable data pipelines integrating information from ERP, CRM, service management, financial, operational, and other enterprise systems
• Build data models, data warehouses, data marts, and semantic layers to support reporting requirements
• Develop ELT/ETL processes for reliable and efficient data movement across platforms
• Support cloud-based and enterprise data architectures, focusing on scalability, performance, and maintainability
• Provide trusted datasets for Power BI dashboards, operational reports, and self-service analytics
• Collaborate with BI developers and analysts to translate reporting requirements into data solutions
• Improve data availability, refresh performance, and reliability across business intelligence platforms
• Support the development of KPI definitions and standardized business metrics
• Establish and maintain processes that improve data quality, consistency, integrity, and completeness
• Partner with functional leaders to define data standards, ownership, and governance procedures
• Implement monitoring, validation, and automated quality controls
• Support compliance with enterprise data management, privacy, cybersecurity, and governance requirements
• Develop scalable, governed data foundations for predictive analytics, automation, AI/Copilot solutions, and advanced analytics
• Partner with IT, automation, and AI teams to ensure data readiness and improve analytics infrastructure and data engineering practices

Требования:

• 4+ Years of experience in data engineering, data architecture, and enterprise analytics environments
• Experience with SQL and relational database design
• Experience building and maintaining ETL/ELT pipelines
• Experience with Azure Data Platform technologies, including Azure Data Factory, Azure Synapse, Azure Databricks, Microsoft Fabric, Dataverse, and Azure SQL
• Experience supporting Power BI, tabular models, and semantic data layers
• Understanding of API integrations, enterprise applications, and data interoperability patterns
• Familiarity with modern DevOps practices, version control, and automated deployment methods
• Будет плюсом: experience supporting services, manufacturing, industrial automation, engineering, or technology organizations; familiarity with ERP, CRM, service management, and financial systems; experience with AI, advanced analytics, or automation platforms; knowledge of Agile delivery methodologies and product-based delivery models

Условия:

• Volunteer paid time off is available after 6 months of employment for eligible employees
• Volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation
• On-demand digital course library for professional development
• Premium membership to Calm and personalized wellbeing programs through the OnTrack program
• Employee Assistance Program and other local benefits
• Employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office