Data Engineer

• Implement and optimize Profisee MDM models, workflows and data stewardship processes

• Expertly configure and customize Profisee components (Apps, Forms, etc.) to meet evolving business requirements

• Design, develop and maintain data integration solutions between Profisee and other solutions of Alfa Laval

• Ensure data quality, consistency, and governance across all integrated systems

• Develop and maintain ETL/ELT processes, APIs, and data synchronization routines

• Document data models, integration architectures, and operational procedures

• Collaborate with business and IT stakeholders to understand data requirements and translate them into scalable technical solutions

• Monitor, troubleshoot, and optimize data flows and integrations for performance and reliability

• Provide comprehensive support across all levels, from initial troubleshooting to advanced issue resolution, ensuring optimal system performance and user satisfaction

Who are you

You are a detail-oriented and analytical data professional with a passion for building reliable and scalable data solutions. You thrive in environments where data quality and consistency are paramount, and you enjoy collaborating with both technical and business stakeholders to deliver impactful results.

Your expertise with Profisee and master data management enables you to design and implement integrations that drive business value. You are proactive, eager to learn and always looking for ways to optimize and automate processes. Communication comes naturally to you, and you take pride in translating complex data challenges into clear, actionable solutions.

What you know

Proven experience with Profisee MDM platform, including configuration, data modeling, and workflow design

• Strong knowledge of data integration tools and techniques (e.g., SSIS, Azure Data Factory, APIs, REST/SOAP)

• Experience with SQL, data warehousing and cloud data platforms (Azure, AWS, or GCP)

• Familiarity with data governance, data quality, and master data management principles

• Excellent problem-solving, communication, and collaboration skills

• Experience working in global, cross-functional organizations with multiple stakeholders

  • Relevant academic background within IT, engineering, or similar