Every day, we get opportunities to make a positive impact – on our colleagues, partners, customers, and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water, and shipping.
As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too.
Background
Alfa Laval is on an ambitious digital transformation journey. As part of this, we have established a global organization working across the full Alfa Laval landscape to accelerate and strengthen our commercial solutions—ultimately driving greater customer and business value.
We are scaling our ways of working based on the Scaled Agile Framework (SAFe), with a strong focus on end-to-end value streams. Within our Sales & Service value stream, we are now looking for a highly experienced Scrum Master to join our Data & Analytics domain.
This area is business-critical and rapidly evolving, enabling data-driven decision-making and advanced analytics capabilities across markets and functions. To succeed, we take a customer-centric, “outside-in” approach—ensuring that what we build creates tangible impact for both customers and the business.
About the job
We are seeking a skilled Data Engineer with expertise in Profisee Master Data Management (MDM) and a strong background in integrating master data solutions with various enterprise systems. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines and integration frameworks that ensure high-quality, consistent, and accessible master data across the organization.
Responsibilities
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
For more information, please contact
Markus Bässe, IT Manager Data & Analytics at [email protected] or Raquel Herndon, Talent Acquisition Partner at [email protected]
For union information, please contact:
Johan Ranhög, Akademikerna, [email protected]
Monica Anderberg, Unionen, [email protected]
Stefan Sandell, Ledarna, [email protected]
We are conducting a continuous review of received applications.
We do not accept applications via email, due to General Data Protection Regulation (GDPR).
Please send your application no later than July 12th, 2026. We will remove the job advert from our website as soon as we have found the right candidate, so don't wait too long!
At Alfa Laval, we pride ourselves on creating an inclusive and dynamic workplace that values diverse perspectives and experiences. While we typically welcome applicants from all locations, for this particular role, we are prioritizing candidates who are currently residing in Lund, Pune, Warsaw or Krakow or have an established presence in these areas.
Our commitment to integrity
We care about diversity, inclusion, and equity in our recruitment processes. We also believe behavioral traits can provide important insights into a candidate's fit to a role. To help us achieve this we apply Pymetrics assessments, and upon application you will be invited to play the assessment games.
As part of Alfa Laval’s commitment to a safe and healthy workplace, we conduct background checks on final candidates for this role, and alcohol and drug testing is applied during the pre‑employment process.
Please note that due to the summer holiday period, the recruitment process may take longer than usual. We appreciate your patience and understanding, and we will ensure to keep candidates informed throughout the process.
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