About Graitec GroupGraitec is a general leader in Building Information Modeling (BIM) solutions, designing and developing software that helps architects, engineers, and manufacturers design smarter and better. With over 30 years of innovation and an entrepreneurial spirit, we've tripled our revenue in just five years.Our North Star is clear — accelerate the digital transformation of the AECO industry and model the future.We achieve this by growing our recurring revenue through innovative software and services that drive adoption, integration, and lasting value for our customers.As a global Autodesk Platinum Partner, we combine world?edge software and services to drive performance and sustainability across the industry.Growth, Agility, Innovation, ResponsibilityHow we behave:Com/graitec-a-global-playerAbout The Team HiringIT & Business Transformation is a global function reporting to the Graitec CEO, made up of four teams: Business Transformation, Data & AI, Information Security, and IT Operations & Platforms. We work as fusion teams and as one with the wider organisation: technology and business colleagues working towards the same goals and outcomes.Data & AI is the team that turns Graitec's data into decisions.

It brings together data platform engineering, BI and machine learning development, data science, AI engineering, and business?The team is growing, and you will help shape how it works.OverviewBusiness Purpose & Value ContributionThe Data Platform Engineer builds and runs the platform that all of Graitec's reporting, analytics and AI depend on: the Microsoft Fabric data lake, the pipelines that feed it, and the controls that keep it reliable, secure and affordable.The priority is a governed single source of truth: data from Dynamics 365 Finance & Operations, CRM, services licensing and product telemetry, integrated once, modelled consistently and served to every function, with sensitive data protected by design.You will work with the Data and AI Leader, BI developers, IT Operations & Platforms, Information Security and R&D.; It is a hands?on senior engineering role, setting the patterns others build on.Key Outcomes ExpectedWhat success looks like in the first 12 monthsA published data platform architecture and engineering standards,



with a layered data model in useCore sources ingested reliably and monitored, with failures detected before users noticePlatform capacity right?sized and its cost transparent, with workloads separated so reporting and engineering do not collideAccess, classification and privacy controls in place, including for HR and financial dataPipelines and models in source control, with automated deployment across environmentsA clear interface with R&D; for product telemetry and shared data platformsResponsibilitiesPlatform EngineeringDesign, build and run the Microsoft Fabric platform: lakehouses, warehouses, pipelines and dataflowsIngest and integrate data from Dynamics 365, CRM, Kantata, licensing and telemetry, using standard connectors and APIs where they fitBuild a layered, medallion?style data model that turns raw data into certified, reusable datasetsResolve customer and product identities across CRM, ERP, licensing and telemetry, so every report counts the same customer onceReliability & CostMonitor pipelines and automate data quality tests for completeness, freshness, uniqueness and referential integrity, with alerting and clear ownership of failuresManage platform capacity and cost, separating workloads and scaling only when justifiedRun source control, environments and deployment pipelines for data and BI contentSecurity & GovernanceImplement access, classification, row?level security, masking and privacy controls with Information SecurityProtect sensitive data such as compensation, using anonymisation and restricted workspacesMaintain lineage and documentation, supporting the data governance the business agreesCollaborationSet engineering standards and coach BI developers and analysts in using themWork with the Enterprise Architect and R&D; on integration patterns, master data and telemetryPrepare data for AI, exposing governed,



well?described data to agents and models through controlled interfacesResponsibilities6+ years of experience in Data Engineering, including at least two years working with Microsoft Fabric, Azure Synapse, or Databricks.Strong experience with SQL and Python or PySpark, and data modelling for analytics.Hands?on experience with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, and OneLake.Experience integrating ERP and CRM data, ideally from Dynamics 365 Finance & Operations and Dataverse.Experience with master data management and entity resolution, including matching customers and products across multiple systems.Practical experience implementing security and governance, including Entra ID, row?level security, and Microsoft Purview.Uses AI tools such as Copilot in day?to?day work for code generation, testing, and documentation.Strong communication skills, with the ability to document effectively and explain technical trade?driven data.Experience preparing data for AI solutions, including retrieval, vector search, and governed access for agents (for example through MCP).

Experience with other modern data platforms and tools such as dbt, Snowflake, or Databricks, and with infrastructure as code.QualificationsStrong proficiency in SQL and Python/PySpark development.focused data modelling and data architecture.Deep knowledge of Microsoft Fabric technologies, including:LakehouseWarehouseData PipelinesNotebooksOneLakeExperience with source control and CI/CD practices for data platforms, including Git and Azure DevOps.Level Security (RLS)Microsoft PurviewUnderstanding of data platform operations, including performance, scalability, and cost optimization.Practical application of AI?assisted development tools such as Copilot.Preferred CertificationsMicrosoft Fabric Data Engineer (DP-700)Microsoft Fabric Analytics Engineer (DP-600)Familiarity with modern AI data architectures, including:enabled data access and governanceKnowledge of modern data engineering ecosystems, including:dbtSnowflakeDatabricksInfrastructure as Code (IaC) practices.Additional InformationAs a signatory of United Nations Women's Empowerment Principles, Graitec is committed to equal opportunity and pay transparency.

📌 Data Engineer - Platform Engineering (Barcelona)
🏢 GRAITEC Italy
📍 Barcelona