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BD

Business Intelligence, Data Engineering Manager

BD

Business Intelligence and Data Engineering Manager managing Azure Data platforms and optimizing ETL processes. Collaborating with cross-functional teams and ensuring data quality in reporting solutions.

Posted 6/28/2026full-timeWroclaw • 🇵🇱 PolandMid-LevelSenior💰 PLN 201,600 - PLN 307,425 per yearWebsite

Tech Stack

Tools & technologies
AzureETLSQL

About the role

Key responsibilities & impact
  • Own and manage the Azure environment supporting Distribution Excellence use cases
  • Maintain and monitor key services (e.g., data pipelines, storage, integration components)
  • Coordinate with IT / platform teams on access, security, and governance
  • Maintain and enhance existing ETL pipelines (data extraction, transformation, loading)
  • Troubleshoot data pipeline failures and ensure timely resolution
  • Optimize data flows for performance and scalability
  • Ensure proper documentation of data transformations and logic
  • Develop, maintain, and optimize SQL queries supporting reporting and analytics
  • Manage data models used for Power BI datasets and reporting layers
  • Ensure data consistency across multiple sources
  • Perform root cause analysis for data discrepancies
  • Ensure overall ownership and governance of Power BI reporting solutions
  • Supervise and guide the development and maintenance of dashboards
  • Oversee report performance optimization, usability, and scalability
  • Ensure proper management of dataset refreshes, data models, and workspace governance
  • Validate translation of business requirements into robust and scalable reporting solutions
  • Ensure data quality, completeness, and reliability across all reporting layers
  • Implement controls and validation logic within ETL and reporting processes
  • Support audit requirements by ensuring traceability of data sources and transformations
  • Collaborate with Distribution Excellence teams to understand reporting needs
  • Provide actionable insights on distributor performance and risks
  • Identify opportunities to automate manual processes
  • Improve data architecture and simplify existing solutions
  • Provide guidance and prioritization for assigned team member

Requirements

What you’ll need
  • 6+ years of experience in Data Analytics, Data Engineering, or Business Intelligence roles
  • Proven hands-on experience with Azure-based data platforms (e.g., Data Factory, Azure SQL, or similar)
  • Strong experience in designing, maintaining, and optimizing ETL processes and data pipelines
  • Experience working with end-to-end data flows (from source systems to reporting layer)
  • Experience supporting business/reporting functions (not purely IT-focused role)
  • Experience in collaborating with cross-functional stakeholders
  • Experience in coordinating or guiding other team members is an advantage.

Benefits

Comp & perks
  • Comprehensive Total Rewards program
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible working hours
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data AnalyticsData EngineeringBusiness IntelligenceETL ProcessesData PipelinesSQLData FactoryAzure SQLData ArchitectureRoot Cause Analysis
Soft Skills
CollaborationTeam GuidanceProblem SolvingCommunicationStakeholder Engagement