Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
What You’ll Do Drive Measurable Business ImpactIndependently lead AI and analytics initiatives that generate tangible business valueActively contribute to and influence the company’s strategic directionApply Advanced Analytics & AIDevelop and apply advanced statistical methods in an agile environmentWork on business-critical questions using: Regression models, Time series analysis and Machine learning & AI algorithmsCollaborate cross-functionally or drive initiatives independentlyTurn Data into ActionDesign and execute analyses on large datasetsTranslate findings into clear, actionable recommendationsWork across the full spectrum — from Excel-based analysis to deep learning models Build Scalable AI SolutionsDevelop and own customized Data Science and AI solutionsWork with SQL on Azure and Snowflake platforms, Python is nice to haveLead projects end-to-end: from Proof of Concept (PoC) to fully operational production modelsCreate audience-tailored presentationsTranslate complex analytical insights into clear business languageDeliver compelling data storytelling to support decision-making at all levels What makes you stand out Minimum 3 years of experience in Data Science, AI, Advanced Analytics, or similar rolesProven ability to generate measurable business value through data-driven solutionsStrong expertise in statistical modeling and machine learning techniquesHands-on experience with: Python, SQL, Azure and SnowflakeExperience building scalable models from PoC to productionStrong communication and stakeholder management skillsAbility to explain complex topics to both technical and non-technical audiencesBachelor’s or Master’s degree in Finance, Statistics, Computer Science, Mathematics, or a related quantitative field We are looking forward to your application and to applicants who enrich our diverse culture!
Main Responsibilities: Work directly with Sales Engineers, Product Sales Development Managers, and Sales ManagersAnalyze sales data and pricing trends to support improvements in market‑specific pricingTrack online pricing for vacuum pump technology to assess competitive positioningDesign and generate reports, dashboards, and visualizations for the management teamAttend sales meetings, business functions, service calls, and customer visits alongside account managers and mentorsSupport development of internal data strategies to drive pricing and market‑focused sales initiativesBuild an appreciation for how data influences direct and indirect sales and marketing strategiesPerform other related duties as assignedTo succeed, you will need Skills / Knowledge / Experience: Education level: Must be a Junior or Senior majoring in: Computer ScienceManagement Information SystemsBusiness / Marketing AnalyticsIndustrial Engineering Knowledge areas/Skills: Strong analytical and creative problem‑solving skillsProficiency in Excel and/or Python; Tableau or PowerBI experience preferredSelf‑motivated, independent, flexible, organized, and methodicalResults‑driven, accountable, and ambitiousAdaptability in a dynamic, fast‑paced environmentIn return, we offer We believe there is always a better way.
What makes you stand out You have a degree in Business Informatics, Computer Science, or a related field, along with at least three years of experience in business consulting, product management, or a similar business‑oriented environment.You bring proven experience in implementing AI or automation initiatives that deliver measurable business impact.You possess practical knowledge of Agentic AI, LLMs, prompt engineering, and other GenAI concepts.You have hands‑on experience with low‑code / no‑code tools such as Cognigy, Copilot Studio, Power Automate, and Power Apps.You have foundational data literacy (data sources, permissions, PII, telemetry) and can build simple impact dashboards in Power BI; experience with Azure AI Foundry or conversational AI platforms is a plus.You work collaboratively and independently, can translate complex technical AI topics into clear business language, and have strong English skills as well as German proficiency at least at B2 level.
Responsible for all aspects of Material Master for the global template and for MDG-M Review all Requirements for clarity and for support of harmonized approach Drive, oversee, guide and assist the technical developers Test all requirement implementations Involved in all aspects of PLM Interfaces for each of the PLM Systems With each roll out the above topics must be addressed in different ways including migration With regards to migration: manage clones, collisions, duplicates for every S4E-Unify and Agora Roll Out Provide demonstrations on MDG-M functionality, oversee the Data Quality module and its implementation relative to KPI’s and management of KPI results Bachelor’s degree in computer science, Business Management, Management Information Systems or equivalent experience Experience in business process design in material management and production planning Expert knowledge about PP, MM, MDG-M, processes and customizing in SAP S/4 HANA Experience and the ability to read ABAP code / debugging are desirable Ability to meet business requirements through the standard solution used Excellent with troubleshooting and analytical skills 10-20% business travel (international and domestic) is expected Languages: English, German (optional) Exciting Global Projects: Be part of a major international SAP S/4HANA transformation program Hybrid Work Model: Flexible working hours and remote work options depending on project needs Professional Development: Opportunity to work with cutting-edge technologies and gain experience in SAP S/4HANA, MDG-M, and PLM interfaces International Environment: Collaborate with global teams across different countries and cultures Modern Workplace: Access to Siemens Energy’s innovative and sustainable office infrastructure Networking Opportunities: Work alongside experts in energy, digitalization, and transformation Gehaltsinformationen 120000 Ihr Kontakt Ansprechpartner Julian Hientz Referenznummer 847518/1 Kontakt aufnehmen E-Mail: julian.hientz@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
What makes you stand out You hold a degree in (business) mathematics, computer science, economics, or a comparable field.You also bring relevant professional experience in the data domain, for example as a BI Engineer or Data Engineer.You have strong knowledge of SQL and Python, as well as proven experience in developing cloud‑based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake.You stand out through your analytical skills and project management capabilities, as well as a strong goal‑oriented and problem‑solving mindset.You communicate confidently in German and English.
Key Responsibilities: Design, build, and operate cloud-based services using modern container technologies (e.g., Kubernetes, Docker) and Platform-as-a-Service (PaaS) solutions.Integrate new technologies and products into the existing cloud infrastructure, ensuring compatibility and long-term sustainability.Support the integration and implementation of additional software components and integration systems following agile methodologies.Contribute to the definition of functional and technical requirements in collaboration with cross-functional teams.Evaluate emerging technologies within the context of existing solutions and support software development teams through enablement and knowledge transfer.Ensure stable and secure operation of the cloud infrastructure, including scalability of services, maintainability, performance optimization, and security hardening.Monitor production systems and cloud services, proactively detect issues, and ensure fast recovery and incident resolution when required. What makes you stand out Bachelor's degree or equivalent in Computer Science3+ years' experience in cloud developmentStrong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.