SAP S/4HANA Programme Change Manager

Hørsholm

Vi er i søgen efter en dygtig IT-projektleder med erfaring inden for dokumentmanagementsystemer (DMS). Hovedansvarsområder Som IT-projektleder er dine kerneopgaver at sikre en struktureret tilgang til projektet, herunder men ikke begrænset til nedenstående ansvarsområder: Afdækning af behov, nuværende praksis og fremtidige krav. Workflow kortlægning med fokus på en stage-gate procesmodel. Analyse af M-Files som mulig løsning, herunder vurdering af funktionalitet, integrationer og modenhed. Estimering af økonomi, tidsplan og bemanding til brug i business case. Udarbejdelse af governance-model, retningslinjer og struktur for metadata. Forberedelse af beslutningsgrundlag til ledelsen. Key Requirements Solid erfaring som IT-projektleder med dokumentmanagement-implementeringer. Stærk indsigt i metadata-strukturer, governance og dokumentprocesser. Erfaring med Microsoft 365-miljøer. Kendskab til M-Files er en klar fordel. Evne til at skabe struktur, drive forandring og arbejde tæt med forretning og teknik. Nice to Have Erfaring med leverandørstyring og koordinering af leverancer. Kendskab til organisatorisk forandringsledelse (OCM). Erfaring med kvalitetssikring og risikostyring. Start dato: April 2026 Varighed: 4-6 måneder Lokation: Hørsholm Onsite/remote: Onsite

København

Overview: Our organization is seeking 4 skilled Databricks Developers/Analysts to join our clients team. Ideal candidates will possess Databricks experience, a background in computer science, and an understanding of GitHub. This role will focus on productionizing data quality controls within our Databricks environment to ensure a comprehensive overview of quality metrics. Main Responsibilities: Productionize quality controls using the Databricks platform. Develop and implement data processing and analytics strategies. Map data attributes to business requirements. Create a v1.0 management report setup that communicates quality metrics. Collaborate with stakeholders to operationalize issue remediation. Key Requirements: Expertise in Databricks for efficient data processing and analytics. Experience with Great Expectations, GitHub, and pipelines for production. Strong understanding of data models and schemas. Ability to analyze and interpret data for operational improvement. Minimum of 4 years of relevant experience. Start + Duration: 1st of April. Contract duration will be 3 secured months, with the potential (probable) extension to 6 months total. Workload: Full-time Location: Consultant shall be able to work onsite in Greater Copenhagen min. 4 days per week and 1 day remote.

København

The Solution Architect will be responsible for designing and delivering comprehensive data platform solutions across our Data platform stack, including Azure Synapse and Databricks environments. This hands-on architectural role involves translating business requirements into technical solutions while collaborating with lead engineers. The architect will guide implementations for key transformation projects such as SAP, Salesforce, POS, and o9, ensuring that solutions are scalable, maintainable, and aligned with data architecture principles, thereby supporting Pandora's vision of becoming a leading jewellery company. Main Responsibilities: Designing end-to-end data platform solutions that align with data architecture principles. Working directly with lead engineers to propose architectural direction and ensure scalability and performance. Providing architectural guidance across transformation projects ensuring data integration aligns with business objectives. Designing integration architectures that connect source systems to our data platform via Kafka. Architecting solutions for centralized and lakehouse patterns. Reviewing technical designs and code to ensure adherence to data platform standards. Defining and documenting solution patterns and best practices to enhance data product quality. Leading technical design sessions with stakeholders and engineering teams. Creating relevant technical documentation including architecture decision records and data flow diagrams. Supporting modernization efforts while maintaining business continuity. Mentoring teams on solution design patterns and cloud-native best practices. Key Requirements: 5-7+ years of experience in data platform solutions with proven delivery of production-grade systems. Strong Python development skills for data engineering workflows. Proficient in SQL development including optimization and performance tuning. Deep experience with Databricks lakehouse and Delta Lake features. Technical expertise in Azure Synapse and data schema design. Practical experience designing end-to-end data pipelines. Experience with streaming and lambda architectures. Knowledge in designing data quality frameworks. Understanding of centralized and federated architectural patterns. Practical knowledge of DAX calculations and Power BI performance optimization. Collaboration skills and ability to work closely with engineering teams. Strong communication skills for technical and business stakeholder engagement. Nice to Have: Understanding of retail, manufacturing, finance, or supply chain processes. Ability to write code to support engineering teams in a hands-on environment. Start: ASAP Duration: 3-6 months + option Workload: Fulltime Location: office in CPH working onsite 3 days and 2 days remote per week

København

Introduction & Summary: The Data Architect will be responsible for enterprise data architecture, designing conceptual and logical data models that guide various data transformations at the client. This role emphasizes the creation of enterprise-wide data models, information blueprints, and naming standards that enhance accessibility and trustworthiness of information for analytical insights and AI innovations. Main Responsibilities: The successful candidate will lead enterprise information architecture design and oversee the creation of data models that align with business capabilities. Leading enterprise information architecture design and creating semantic, conceptual, logical models. Architecting domain data models for commerce, manufacturing, and supply chain. Designing data product interfaces and semantic contracts for interoperability. Developing semantic layer architectures for self-service analytics. Reviewing data architectural blueprints for core application transformation. Co-creating master data management strategies for various domains. Establishing data quality measures and modeling standards. Reviewing key physical model proposals for alignment with enterprise information data models. Designing information value chains with clear contracts for analytics consumption. Providing architectural oversight through design reviews and decision records. Key Requirements: 5-7+ years as a practicing data architect with proven enterprise-scale architectures. Domain expertise in commerce, manufacturing, or supply chain data models. Experience architecting shared data models in modern lakehouse patterns. Knowledge of both traditional dimensional and modern data mesh/lakehouse patterns. Understanding of Azure data platform capabilities. Track record guiding teams through major digital transformations. Ability to create semantic layers and logical models for business adoption. Experience establishing master data management patterns and data governance frameworks. Excellence in stakeholder communication. Collaborative leadership style to guide teams towards optimal decisions. Nice to Have: Experience establishing reusable patterns and reference architectures. Familiarity with cloud-based data solutions. Role: Data Architect Start: ASAP Duration: 3-6 months + option Workload: Fulltime Location: Office in CPH working onsite 3 days and 2 days remote per week