About Piab Group
Piab improves customers' productivity, sustainability, and safety through industrial automation and has done so since 1951. With annual sales of ~3 billion SEK and 1200+ employees, we serve customers in 100+ countries via subsidiaries and partners. Since 2018, Piab Group has been owned by Patricia Industries, part of Investor AB.
What awaits you
Be part of an innovative, entrepreneurial, and global company and a world leader in industrial automation. Work in an inclusive, diverse environment with colleagues in 27+ countries, contribute to a sustainable automated world, and access strong professional growth and long‑term stability as part of Patricia Industries and the Wallenberg sphere.
Job Mission
As Data Architect and Lead, you will own and develop Piab’s enterprise data architecture, with a strong focus on Dynamics 365 Finance & Operations and its ecosystem. You will design and implement data models, integrations, and pipelines to enable efficient reporting, advanced analytics, and AI. You will drive data governance, quality, and best practices so that Piab’s data is trusted, well‑structured, and supports global business decisions.
Preferred Competencies
Education & Experience
Bachelor’s or master’s degree in Computer Science, Information Systems, Engineering, or similar.
6–10 years in data engineering/architecture, including D365 F&O data migration experience.
Core Technical Background
Proven experience as Data Architect, Data Lead, or Senior Data Engineer.
Deep knowledge of D365 F&O data structures and integration patterns.
Experience integrating D365 F&O with Salesforce and PLM/CAD (e.g., Teamcenter, Solidworks).
Strong SQL and data warehousing skills (dimensional modeling, star schemas).
Key Responsibilities
Data Architecture & Integration
Design and maintain an enterprise data architecture centered on D365 F&O (finance, supply chain, manufacturing, sales, product/engineering).
Define conceptual, logical, physical, and canonical data models, including master data (customers, products, BOMs, suppliers, etc.).
Architect and implement integrations between D365 F&O, Salesforce, Teamcenter, Solidworks, and the data warehouse/lake.
Plan and execute data migrations from legacy applications to D365 F&O.
Hands-On Data Engineering
Develop and maintain ETL/ELT pipelines from ERP, CRM, and PLM into a central data platform, ideally in Azure (Data Factory, Synapse, Databricks, Azure Data Lake, Fabric).
Implement business rules, transformations, and data quality checks.
Optimize data models for reporting and support analytics/BI tools, preferably Power BI.
Troubleshoot and tune performance of data loads, integrations, and queries.
Data Governance & Quality
Define data standards, modelling guidelines, and naming conventions.
Establish data ownership/stewardship with business stakeholders and monitor data quality metrics.
Support cataloging, lineage, documentation, and compliance with privacy and security requirements.
AI & Advanced Analytics Enablement
Prepare datasets and features for AI/ML and advanced analytics, leveraging Azure AI/ML or similar.
Ensure pipelines and models are suitable for ML workloads.
Collaborate with data scientists and analytics teams, promote responsible data use for AI, and leverage native AI capabilities in D365, Salesforce, and Azure.
Leadership & Collaboration
Lead requirement and solution workshops with ERP, CRM, PLM, and business teams.
Define and communicate a clear data roadmap aligned with business and IT strategy.
Mentor data engineers and BI developers, drive best practices and modern ways of working.
Support major projects (implementations, rollouts, upgrades) in both agile and waterfall environments.
Key Interfaces
ERP (D365 F&O) teams and project managers; CRM (Salesforce) teams; PLM/CAD teams (Teamcenter, Solidworks) and engineering/product stakeholders; business stakeholders in Finance, Supply Chain, Manufacturing, Sales, Product/Engineering; data engineers, BI developers, data scientists, analytics teams; IT service management, infrastructure, and security/governance.
Experience and Education
Bachelor’s or master’s degree in a relevant field.
6–10 years in data engineering/architecture, with significant D365 F&O and data migration experience.
Experience from international environments and global implementations (Europe, US, Asia).
B2B experience is an advantage.
Willingness to travel as needed.
Experience with MS Word, PowerPoint, Excel, and project tools.
Skills & Abilities
Technical & Platform
Strong SQL and data warehousing (dimensional modeling, star schemas).
Hands-on experience with modern data platforms and ETL/ELT tools, ideally Azure (Data Factory, Synapse, Databricks, Azure Data Lake, Fabric).
Experience with BI tools, preferably Power BI.
Data Governance & AI
Experience setting up data governance, standards, and stewardship frameworks.
Understanding of MDM, data quality, and data security/privacy principles.
Exposure to AI/ML projects and data provisioning for analytics; familiarity with Azure AI/ML or similar is a plus.
Ways of Working & Tools
Experience with tools such as Jira / HP ALM / ServiceNow and SharePoint.
Experience with both agile and waterfall methodologies and related IT service processes.
Personal & Interpersonal
Strong ability to understand business needs and translate them into scalable data solutions.
Ability to manage multiple tasks and deliverables.
Result-driven, analytical, and problem‑solving mindset.
Excellent verbal and written communication in a concise, professional manner.
Strong team player with social skills and a proactive, hands-on attitude, able to build relationships in an international context.
How to Apply
If you are passionate about innovation and want to make a difference in industrial automation, we would love to hear from you.
