Data Engineer

Rockwell Automation

. Design, build, maintain, and optimize data platforms, pipelines, and integration frameworks .

Posted 9/17/2026full-timeKatowice • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data platforms and pipelines, with a strong focus on ETL/ELT processes and cloud-based architectures. Proficient in utilizing Azure Data Platform technologies and supporting business intelligence solutions through effective data governance and quality management.

Highest-signal resume keywords

Data EngineeringETL/ELT Pipeline DevelopmentAzure Data Platform TechnologiesPower BI SupportData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLRelational Database DesignData ModelingData WarehousingData IntegrationData Quality ManagementAPI IntegrationAdvanced AnalyticsAutomationData Architecture

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Azure Data FactoryAzure SynapseAzure DatabricksMicrosoft FabricDataversePower BI

Industry Keywords

ERP SystemsCRM SystemsService ManagementFinancial SystemsAgile Methodologies

Tech Stack

Tools & technologies

AzureCloudCyber SecurityERPETLSQL

About the role

Key responsibilities & impact

Design, build, maintain, and optimize data platforms, pipelines, and integration frameworks
Design and maintain scalable data pipelines integrating ERP, CRM, service management, financial, operational, and other enterprise systems
Build data models, data warehouses, data marts, and semantic layers
Develop ELT/ETL processes for reliable and efficient data movement
Support cloud-based and enterprise data architectures
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 KPI definitions and standardized business metrics
Establish processes to improve data quality, consistency, integrity, and completeness
Define data standards, ownership, and governance procedures with functional leaders
Implement monitoring, validation, and automated quality controls
Support enterprise data management, privacy, cybersecurity, and governance compliance
Develop governed data foundations for predictive analytics, automation, AI/Copilot solutions, and advanced analytics
Partner with IT, automation, and AI teams to improve data readiness, analytics infrastructure, and data engineering practices
Report to the LCS Business Intelligence & Data Governance Manager and Team Leader in Poland

Requirements

What you’ll need

4+ years of experience in data engineering, data architecture, and enterprise analytics environments
Experience of 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
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

Benefits

Comp & perks

Volunteer Paid Time off available after 6 months of employment for eligible employees
Company volunteer and donation matching program
On-demand digital course library for professional development
Comprehensive mindfulness programs with a premium membership to Calm
Employee Assistance Program
Personalized wellbeing programs through our OnTrack program
Other local benefits