Business Intelligence and Data Engineering Manager

BD; Wrocław; On-site; PLN 201,600 - 307,425; Full time

Benefits offered by this job

Opportunities for growth

Collaborative culture

Job summary

BD is seeking a Data Analytics professional in Wrocław to own their Azure Data Platform supporting Distribution Excellence. Responsibilities include overseeing ETL processes, developing SQL queries, and ensuring data quality.

The ideal candidate has over 6 years in Data Analytics or Engineering, with proven experience in Azure environments and reporting solutions like Power BI, alongside a commitment to collaboration and continuous improvement.

Qualifications

• 6+ years of experience in Data Analytics, Data Engineering, or Business Intelligence roles.
• Proven experience with Azure-based data platforms.
• Strong experience in designing and optimizing ETL processes.

Responsibilities

• Own and manage the Azure environment supporting Distribution Excellence.
• Maintain and enhance existing ETL pipelines and data flows.
• Develop, maintain, and optimize SQL queries for reporting.

Skills

Data Analytics

Data Engineering

Business Intelligence

Azure Data Platforms

Tools

Azure Data Factory

Azure SQL

Power BI

Job description

Overview

We are the people who give possibilities purpose. BD is one of the largest global medical technology companies in the world. Advancing the world of health is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Key Responsibilities

• Azure Data Platform Ownership
• 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
• ETL Process Management
• 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
• SQL & Data Modeling
• 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
• Power BI Reporting & Analytics
• 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
• Data Governance & Quality
• 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
• Define and document data definitions and KPIs
• Business Partnership (Distribution Excellence)
• Collaborate with Distribution Excellence teams to understand reporting needs
• Provide actionable insights on distributor performance and risks
• Support performance management processes with reliable analytics
• Bridge the gap between technical data structures and business requirements
• Continuous Improvement
• Identify opportunities to automate manual processes
• Improve data architecture and simplify existing solutions
• Introduce best practices in data engineering and reporting
• Team Coordination
• Provide guidance and prioritization for assigned team member
• Ensure continuity, knowledge sharing, and delivery reliability across reporting solutions

Experience

Required Qualifications

• 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

Why Join Us

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive.

We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.

To learn more about BD visit the BD Careers site.

Equal Opportunity Employer

Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.

Salary Range Information

Salary Range: zł201,600.00 - zł307,425.00 PLN annual

Job Location

Primary Work Location: POL Wroclaw - Legnicka

Additional Locations: POL Warsaw - ul. Osmanska

Work Shift

Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, that contribute to the range displayed.