YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
The Oberalp Group is a management driven family business - a house of brands that creates high quality technical mountaineering products. We have 6 own brands Salewa, Dynafit, Pomoca, Wild Country, Evolv and LaMunt. As an exclusive partner of other brands in the sports sector we offer our entire know how in communication, sales and image building.
The Oberalp Group is a management driven family business - a house of brands that creates high quality technical mountaineering products. We have 6 own brands Salewa, Dynafit, Pomoca, Wild Country, Evolv and LaMunt. As an exclusive partner of other brands in the sports sector we offer our entire know how in communication, sales and image building.
We look forward to hearing from you. Manage and refine business and technical requirements in collaboration with stakeholders Coordinate data integration activities with various source systems Design and model data structures within a Data Warehouse environment, with a strong focus on Data Vault methodology Develop and optimize data pipelines using SQL and Python Work with tools like Databricks and dbt to build scalable data transformation workflows Ensure data quality, consistency, and compliance, especially within banking-related use cases Experience in requirements management Experience in coordination with source systems Experience with data modeling in a Data Warehouse environment: Focus on Data Vault Good German and English language skills Databricks experience is nice to have Experience with dbt (data build tool) is an advantage Experience with SQL (as a query language) and Python is an advantage Banking experience is an advantage Renowned client Remote work Ihr Kontakt Ansprechpartner Florian Pracher Referenznummer 863466/1 Kontakt aufnehmen E-Mail: florian.pracher@hays.at Anstellungsart Freiberuflich für ein Projekt
HPA - Hamburg Port Authority AöR sucht in eine/n Data Governance Manager*in in der Technical Division (ID-Nummer: 13745001)
What you will do Gather, analyze, and interpret data to fulfill reporting requests from business stakeholders Translate complex data into clear, actionable insights that support business strategy Support ad hoc analysis and contribute to data-driven decision-making Automate routine reporting processes and maintain existing reports to ensure reliability and improve data workflows Maintain, design, and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization Collaborate with data engineers, data scientists, and stakeholders across the organization to ensure data quality and consistency while delivering data-driven insights that support supply-related business decisions Communicate findings effectively to technical and non-technical audiences Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes Who you are You have at least 1-2 years of experience as a Data Analyst Proficiency in SQL for complex data analysis, reporting, and querying large datasets Experience with Google BigQuery Experience with data visualization tools (e.g., Looker Studio, Excel, or similar) to create compelling dashboards and reports Excellent communication skills in English Ability to translate fuzzy business requirements from diverse stakeholders into analytical requirements.
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Key Responsibilities Develop and maintain detailed project budgets, cost estimates, and financial forecasts for data center construction and infrastructure projects, tracking expenditures against approved budgetsPrepare comprehensive cost reports, cash flow projections, and value engineering analyses to optimize project costs while maintaining quality standards and technical requirementsCoordinate with project managers, contractors, and procurement teams to evaluate contract proposals, change orders, and variation requests while ensuring cost-effective project deliveryConduct risk assessments for cost implications, develop contingency strategies, and monitor market conditions affecting material and labor costs in data center constructionReview and validate contractor invoices, progress payments, and final accounts while maintaining detailed cost documentation and audit trails for financial complianceSupport procurement processes, tender evaluations, and contract negotiations to achieve optimal value while facilitating cost reconciliation, lessons learned, and knowledge transfer for future project Qualifications & Skills Bachelor's degree in Quantity Surveying, Construction Management, Engineering, or related field with several years of experience in cost management for data center or mission-critical facility projectsComprehensive knowledge of data center construction costs, industry pricing trends, and ability to interpret technical specifications for accurate cost estimation and budget developmentStrong financial analysis expertise with proficiency in cost management software, spreadsheet applications, and demonstrated ability to prepare detailed cost reports and forecastsExcellent analytical, communication, and stakeholder management skills with proven ability to negotiate with contractors and suppliers while managing cost-related project risksExperience with value engineering, life-cycle costing, and cost optimization techniques in complex construction environments with understanding of procurement processes and contract administration Jones Lang LaSalle SE Human Resources Ihr Ansprechpartner: Jan Bauermann Talent Acquisition Partner EMEA jan.bauermann@jll.com Location: On-site –Frankfurt am Main, DEU If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.
Responsibilities Manage product (includes services, systems and solutions) portfolio and life cycle in line with the segment and category strategy (product launches, price setting, value pricing, margin optimization, cost optimization, make-or-buy decisions, vendor management, promotions, harmonization, rationalization,...)Build application and product knowledge and propose changes to the product portfolioTrain and provide technical application, product and solution support to SalesUnderstand market trends, customer and stakeholder needs and capture the Voice Of the Customer, conduct competitor analysisBuild innovation pipeline and interface with IPD and Engineering for new developmentsTrack category performance and recommend corrective actions Requirements University degree in disciplines related to Engineering and/or Business Administration preferably.Experience in leading teams from remoteHigh Experience in assessing customer needs Knowledge and experience within a relevant B2B(2C) product and solutions industryKnowledge of electrofusion and/or mechanical joints are strong plusExperience working in complex, international and multi-stakeholder environment Fluent in English – German and French are nice to have Are you the one we are looking for?
YOUR TASKS Monthly maintenance of replaced components and completeness check and update for new systems in the SAP system, including corresponding reports Database maintenance and updates Initial cross-departmental error analysis in the SAP system Support for project managers and IT with data queries for analysis and testing Creation and updating of training materials YOUR PROFILE Enrolled student (m/f/d) in a technical, business, or IT-related field Proficient in MS Office Good written and spoken English skills Strong analytical thinking skills Flexibility, excellent communication skills, and a good understanding of teamwork Independent and reliable work ethic Availability to work in our office in Hamburg regularly YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
YOUR TASKS Monthly maintenance of replaced components and completeness check and update for new systems in the SAP system, including corresponding reports Database maintenance and updates Initial cross-departmental error analysis in the SAP system Support for project managers and IT with data queries for analysis and testing Creation and updating of training materials YOUR PROFILE Enrolled student (m/f/d) in a technical, business, or IT-related field Proficient in MS Office Good written and spoken English skills Strong analytical thinking skills Flexibility, excellent communication skills, and a good understanding of teamwork Independent and reliable work ethic Availability to work in our office in Hamburg regularly YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Your assignments Leading multidisciplinary and multicultural teamsManagement of urban water projectsResponsibility for studies, design and tender documents for different investment measures in the field of urban water managementLiaison and communication with the Client and the Donor AgenciesManagement of technical deliverables and reportingDetermine and define project scope and objectivesPredict resources needed to reach objectives and manage resources in an effective and efficient mannerPrepare budget based on scope of work and resource requirementsTrack project costs to meet budgetDevelop and manage a detailed project schedule and work planProvide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progressManage contracts with subcontractors and suppliers by assigning tasks and communicating expected deliverablesUtilize industry best practices, techniques, and standards throughout entire project executionMeasure project performance to identify areas for improvement Your profile University degree (M.Sc.) in civil engineer, mechanical engineer, process or environmental engineer or other suitable qualificationPreferably 15 years of professional experience in international consulting / engineering in the field of urban water managementSeveral years of experience in project management, project control (backstopping) and in dealing with international donor organizations and development banksConfirmed successful acquisition of consulting projectsVery good leadership, team development and communication skillsVisionary thinking skills and the ability to support and shape a developing department and teamWillingness to travel extensivelyFluently in English language (working proficiency), preferably in an additional business language (French, Spanish, etc.)Proficient with Project Management software preferredStrong interpersonal and technical writing skills.Preferably additional qualifications in project management (PMI or similar) We offer Employment on a permanent or freelance basisFlexible working environment (mobile office/office hours)Friendly and collaborative spirit in multidisciplinary teamsFinancial benefits (e.g. participation in corporate success)Office amenities (e.g. company sports, free water, coffee and tea) Please send your application to Christina Müller When applying for a job at GKW Consult, please note our information on data protection for applicants.
Additional experience in BIM and technical software would be desirable We offer Permanent Position Flexible working environment (mobile office/office hours)Friendly and collaborative spirit in multidisciplinary teamsHigh degree of personal responsibilityFinancial benefits (e.g. participation in corporate success)Challenging projects, where you can develop both professionally and personallyMultiple internal and external training opportunitiesCanteen nearby (meal allowance)Office amenities (e.g. company sports, free water, coffee and tea) Please send your application to Christina Müller When applying for a job at GKW Consult, please note our information on data protection for applicants.
Your assignments Leading multidisciplinary and multicultural project teamsManagement of several urban water projectsResponsibility for studies, design, tender documents and construction supervision for different investment measures in the field of water, wastewater and solid waste (2 out of 3 fields)Liaison and communication with Clients and Donor AgenciesManagement of technical deliverables and reportingPredict resources needed to reach objectives and manage resources in an effective and efficient mannerPrepare and track project budgets based on scope of work and resource requirementsTrack, follow up and report on invoicingDevelop and manage a detailed project schedule and work plan for a portfolio of projectsProvide project updates on a consistent basis to management and external stakeholders about strategy, adjustments, and progressPrepare and manage contracts with subcontractors and suppliersUtilize industry best practices, techniques, and standardsMeasure project performance to identify areas for improvementManage preparation of PQsManage and write technical and financial proposals, bring proposals through the approval process Your profile University degree (M.Sc.) in civil engineering, mechanical engineering, process or environmental engineering or other suitable qualificationPreferably 15 years of professional experience in international consulting / engineering in the field of urban water managementSeveral years of experience in project management, project control (backstopping) and in dealing with international donor organizations and development banksConfirmed successful acquisition of consulting projectsVery good leadership, team development and communication skillsVisionary thinking skills and the ability to support and shape a developing department and teamBe actively involved in professional activities, conferences, committees in the industryWillingness to travel extensivelyVery good knowledge of the English language, spoken and written and preferably in an additional business language (French, Spanish, etc.)Proficiency with Project Management software preferredStrong interpersonal and technical writing skillsPreferably additional qualifications in project management (PMI or similar) We offer Permanent positionFlexible working environment (mobile office/office hours)Friendly and collaborative spirit in multidisciplinary teamsHigh degree of personal responsibilityFinancial benefits (e.g. participation in corporate success)Challenging projects, where you can develop both professionally and personallyMultiple internal and external training opportunitiesCanteen nearby (meal allowance)Office amenities (e.g. company sports, free water, coffee and tea) Please send your application to Christina Müller.
What You’ll Do: Collaborate in an Agile, International TeamWork closely with colleagues from Romania, Germany, and UkraineDesign, estimate, develop, and implement software solutions aligned with business needsActively communicate progress, risks, and technical decisions to stakeholdersBuild Scalable Data SolutionsDevelop agnostic data products within a modern, cloud-native data ecosystemSupport use cases across BI, Advanced Analytics, AI, and MLTranslate business requirements into robust technical architecturesContinuously enhance performance, quality, and cost-efficiency of solutionsProactively suggest improvements and best practices What makes you stand out Degree in Computer Science, Economics, or a comparable qualificationMinimum 3 years of experience as a BI Engineer or Data Engineer, focused on cloud-based architecturesStrong expertise in: Snowflake and DBT (Data Build Tool)Solid knowledge of: SQL and Data lakehouse architectures, Python is nice to haveCommunication is Key Excellent communication skills in English (written and spoken) — mandatoryAbility to clearly explain technical concepts to both technical and non-technical stakeholdersStrong stakeholder management and collaboration skillsComfortable working in cross-border, multicultural teams We are looking forward to your application and to applicants who enrich our diverse culture!
Collaborate with data scientists and engineers to break down abstract business challenges into a defined product vision, MVPs, and iterative delivery plans. Act as a bridge between technical and business teams, simplifying complex technical concepts and data insights, making them understandable for stakeholders. You’ll also translate business needs into technical requirements.
What you can expect You take on the functional and disciplinary responsibility for all FTEs in the Sales Data Hub within the federated data setup, including Data Engineers, Data Scientists, Data Governance roles and Product Owners Data.You define, design, develop, and operate cloud‑based data products for the Sales, Marketing, and Customer Service business units.You are responsible for the methodological integration of data assets and data products.You manage the Sales Data Hub operationally and further develop it as a specialized unit for data‑driven solutions in Sales, Marketing, and Customer Service.You are responsible for the further development and ongoing maintenance of all sales‑related models based on feedback and requirements from the sales organization.You lead projects related to planning, expanding, and organizing new and existing products in collaboration with the relevant business units and external partners.You assume technical responsibility for data products developed by or for the Sales, Marketing, and Customer Service areas within the Data Intelligence & Analytics team.You drive the continuous expansion, professionalization, and organizational development of the Sales Data Hub within the existing governance and organizational framework.
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!
We look forward to hearing from you. Manage and refine business and technical requirements in collaboration with stakeholdersCoordinate data integration activities with various source systemsDesign and model data structures within a Data Warehouse environment, with a strong focus on Data Vault methodologyDevelop and optimize data pipelines using SQL and PythonWork with tools like Databricks and dbt to build scalable data transformation workflowsEnsure data quality, consistency, and compliance, especially within banking-related use cases Experience in requirements managementExperience in coordination with source systemsExperience with data modeling in a Data Warehouse environment: Focus on Data VaultGood German and English language skillsDatabricks experience is nice to haveExperience with dbt (data build tool) is an advantageExperience with SQL (as a query language) and Python is an advantageBanking experience is an advantage Renowned clientRemote work Ihr Kontakt Ansprechpartner Florian Pracher Referenznummer 863466/1 Kontakt aufnehmen E-Mail: florian.pracher@hays.at Anstellungsart Freiberuflich für ein Projekt
ECE sucht in eine/n Assistant im Technical Management (m/w/d) (ID-Nummer: 13667979)
Ensure structured, transparent, and methodical execution of complex, cross-functional development projects Enable teams and leadership to make fact-based decisions, safeguards adherence to governance and processes, drives cross-functional alignment, and continuously improves execution performance across the organization Bachelor in Computer Science, Software Engineering, Electrical Engineering, Information Technology, or a related technical field Solid understanding of business–economic correlations, cost structures, and scenario evaluation Extensive experience driving structured execution of complex, cross-functional development projects, ensuring transparency, alignment, and methodical governance Experience coordinating or leading interdisciplinary technical development projects (mechatronic, embedded, system-level or cross-functional Strong proficiency with project management tools (e.g.
Ensure structured, transparent, and methodical execution of complex, cross-functional development projectsEnable teams and leadership to make fact-based decisions, safeguards adherence to governance and processes, drives cross-functional alignment, and continuously improves execution performance across the organization Bachelor in Computer Science, Software Engineering, Electrical Engineering, Information Technology, or a related technical fieldSolid understanding of business–economic correlations, cost structures, and scenario evaluationExtensive experience driving structured execution of complex, cross-functional development projects, ensuring transparency, alignment, and methodical governanceExperience coordinating or leading interdisciplinary technical development projects (mechatronic, embedded, system-level or cross-functionalStrong proficiency with project management tools (e.g.
Design, build, and optimize batch data pipelines for internal tool use cases Develop efficient Spark SQL transformations for large-scale datasets Use Python for data processing, orchestration, and automation Create and maintain data models (facts, dimensions, aggregates) with clear grain and metric definitions Ensure data quality and correctness, including handling late data, duplicates, and adjustments Implement validation, data quality checks, and reconciliation logic Work with business stakeholders to gather requirements, define metrics, and translate needs into pipelines Collaborate with infrastructure teams on standards, performance tuning, and best practices Bachelor oder Master degree in a technical field or an equivalent qualification Experience in data engineering or a related field Strong proficiency in Spark SQL for large-scale data transformations Solid Python skills for data processing and pipeline development Strong understanding of data modeling (fact tables, dimensions, grain, SCDs) Hands-on experience building and maintaining batch pipelines in production High attention to detail with a strong focus on data quality and metric integrity Ability to communicate clearly with non-technical stakeholders and translate business needs into data solutions Remuneration in the most attractive collective agreement in the industry Annual leave entitlement of 30 days Generous working time account with the possibility to pay overtime Subsidization of direct insurance (as company pension scheme) Ihr Kontakt Ansprechpartner Kristina Meng Referenznummer 863942/1 Kontakt aufnehmen E-Mail: kristina.meng@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Design, build, and optimize batch data pipelines for internal tool use casesDevelop efficient Spark SQL transformations for large-scale datasetsUse Python for data processing, orchestration, and automationCreate and maintain data models (facts, dimensions, aggregates) with clear grain and metric definitionsEnsure data quality and correctness, including handling late data, duplicates, and adjustmentsImplement validation, data quality checks, and reconciliation logicWork with business stakeholders to gather requirements, define metrics, and translate needs into pipelinesCollaborate with infrastructure teams on standards, performance tuning, and best practices Bachelor oder Master degree in a technical field or an equivalent qualificationExperience in data engineering or a related fieldStrong proficiency in Spark SQL for large-scale data transformationsSolid Python skills for data processing and pipeline developmentStrong understanding of data modeling (fact tables, dimensions, grain, SCDs)Hands-on experience building and maintaining batch pipelines in productionHigh attention to detail with a strong focus on data quality and metric integrityAbility to communicate clearly with non-technical stakeholders and translate business needs into data solutions Remuneration in the most attractive collective agreement in the industry Annual leave entitlement of 30 days Generous working time account with the possibility to pay overtime Subsidization of direct insurance (as company pension scheme) Ihr Kontakt Ansprechpartner Kristina Meng Referenznummer 863942/1 Kontakt aufnehmen E-Mail: kristina.meng@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
You are responsible for the conceptual, logical, and structural integrity of our Core Data Model as well as the Gold Layer across Azure, Snowflake, and dbt.You ensure that fragmented data sources are transformed into consistent, reusable, and decision‑relevant data products, actively preventing the platform from drifting into team‑specific, incompatible models.You define and maintain central business objects, canonical dimensions, shared metrics, and facts, ensuring that the Core Data Model serves as a stable, business‑oriented foundation across all domains.You develop modeling standards, naming conventions, layering concepts (Staging → Intermediate → Gold), reuse patterns, and dbt design guidelines, and you ensure their consistent implementation across all teams.You safeguard the semantic consistency of the entire data model, resolve domain conflicts, ensure that identical business terms are modeled only once, and review changes affecting core layers.You act as the technical design authority for model changes in Snowflake/dbt, balancing local requirements with long‑term model coherence, and ensuring that all models remain performant, scalable, maintainable, and of high quality.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You bring experience in Revenue Operations, Sales Operations, Sales Analytics, or a similar commercial analytics role.You have a strong understanding of sales processes, pipeline management, forecasting, and revenue metrics, and you can translate them into technical requirements for engineers.You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You are a great stakeholder manager who can talk to sales and engineering alike.You are highly proficient in Power BI and experienced in building dashboards that drive action.You are comfortable working with CRM data and sales systems (e.g.
Fresenius Medical Care Deutschland GmbH sucht in eine/n (Senior) Data Privacy Engineer (m/f/d) / (Senior) Expert (m/f/d) – Technical Privacy (ID-Nummer: 13676634)
. --------------------------------------------- Senior Data Scientist Data Science & Advanced Analytics Frankfurt, Germany The Senior Data Scientist is responsible for designing, deploying and continuously optimizing scalable ML solutions that translate business requirements into measurable impact across EMEA markets. The position combines technical execution with business alignment, ensuring solutions remain adaptable to evolving commercial needs while maintaining architecture consistency and standardization.
R.T.S. Rochem Technical Services GmbH sucht in Hamburg eine/n Kaufmännischen Mitarbeiter im Office Management (m/w/d) (ID-Nummer: 13462359)
Roto Frank Dachsystem-Technologie sucht in Bad Mergentheim bei Würzburg eine/n Expert (m/w/d) Technical Information Management (ID-Nummer: 13756352)
W-P Management Consult GmbH sucht in Karlsruhe, Lauda-Königshofen eine/n Duale Studienplätze als BWL Technical Management / Wertstoffmanagement und Recycling (ID-Nummer: 13748852)
You ensure safe, compliant, and efficient execution of construction sites while providing clear technical and disciplinary leadership. The role combines people management with strong on-site presence in an operational, safety-critical environment.
FUCHS LUBRICANTS GERMANY GmbH sucht in eine/n Expert Technical Claim Management (m/w/d) (ID-Nummer: 13723361)
You ensure safe, compliant, and efficient execution of construction sites while providing clear technical and disciplinary leadership. The role combines people management with strong on-site presence in an operational, safety-critical environment.
Ruhr: Strategic, analytical mindset with strong data quality focus Independent, ownership driven working style Clear and structured documentation skills Mentoring and knowledge sharing mindset At least six years' experience in implementation projects, of which at least two years must have been spent in thematically comparable IT projects, Special knowledge in several technical areas, PM: At least two years' experience in IT project management with full management responsibility for the project staff, Management of Cat.
Coordinator (m/f/d) Warehouse Logistics & Materials Management About redi-Group We are a global technical service provider specialized in quality activities across the whole supply chain and production facilities. As a successful, owner-managed family business, we have been committed to innovation and excellence for over 25 years.
Rohde & Schwarz GmbH & Co. KG sucht in eine/n Director (m/w/d) Supply Management Technical Service (ID-Nummer: 13719124)
Prepare audit reports and performance feedback for management review. Your Profile Degree in Technical Engineering (Mechanical, Electrical, Civil, Industrial, or Environmental). Postgraduate qualification in Health, Safety, and Environment.
Lust auf was neues? Dann starte mit uns durch! Wir suchen aktuell: Technical Consultant / Techniker im Facility Management (m/w/d) in Bad Oeynhausen Technical Consultant / Techniker im Facility Management (m/w/d) in 32549 Bad Oeynhausen Die ambrosia ist eine mittelständische Unternehmung für Facility Management Dienstleistungen und Beratung.
Prepare audit reports and performance feedback for management review. Your Profile Degree in Technical Engineering (Mechanical, Electrical, Civil, Industrial, or Environmental). Postgraduate qualification in Health, Safety, and Environment.
The successful candidate will be an experienced supply chain professional who excels in driving continuous improvement while delivering sustainable business benefits. You should possess exceptional technical and communication skills, particularly in recognising and implementing industry best practices within the supply chain. Strong leadership and management experience are crucial for spearheading transformative change in our Supply Chain function.
How you can contribute: Lead sales for HydroMet software solutions across the DACH region, with a focus on strategic growth and customer successDevelop and implement go-to-market activities for existing and new software solutions in both established and emerging segmentsManage key customer relationships through Key Account Management and regular on-site business development visitsDrive proactive new customer acquisition with a clear focus on outcomes („Hunter mentality“)Oversee and manage tender processes in the environmental sectorDeliver structured, transparent CRM data and participate in monthly sales review meetingsRepresent KISTERS at trade fairs, conferences, and webinars, and actively build a strong network in the environmental monitoring communityProvide valuable customer feedback (VOC) to marketing and product development teams Your Profile: A Master’s degree in Hydrology, Meteorology, or Civil/Environmental EngineeringMinimum 5 years of experience in sales, consulting, or account management in the HydroMet or environmental monitoring marketExperience in environmental data management and analysis software solutions. Technical background in the HydroMet instrumentation (Hardware) is a plus.Proven track record in achieving sales targets and managing long sales cycles independentlyExperience handling public or private environmental tender businessA relevant professional network in the HydroMet or environmental technology sectorNative-level fluency in German and excellent command of English (spoken and written).
How you can contribute: Lead sales for HydroMet software solutions across the DACH region, with a focus on strategic growth and customer successDevelop and implement go-to-market activities for existing and new software solutions in both established and emerging segmentsManage key customer relationships through Key Account Management and regular on-site business development visitsDrive proactive new customer acquisition with a clear focus on outcomes („Hunter mentality“)Oversee and manage tender processes in the environmental sectorDeliver structured, transparent CRM data and participate in monthly sales review meetingsRepresent KISTERS at trade fairs, conferences, and webinars, and actively build a strong network in the environmental monitoring communityProvide valuable customer feedback (VOC) to marketing and product development teams Your Profile: A Master’s degree in Hydrology, Meteorology, or Civil/Environmental EngineeringMinimum 5 years of experience in sales, consulting, or account management in the HydroMet or environmental monitoring marketExperience in environmental data management and analysis software solutions. Technical background in the HydroMet instrumentation (Hardware) is a plus.Proven track record in achieving sales targets and managing long sales cycles independentlyExperience handling public or private environmental tender businessA relevant professional network in the HydroMet or environmental technology sectorNative-level fluency in German and excellent command of English (spoken and written).
ARTES Recruitment GmbH sucht in eine/n Analyst / Associate Technical Management – Real Estate (m/w/d) (ID-Nummer: 13699094)
Landeshauptstadt München sucht in eine/n DevOps Engineer mit den Schwerpunkten Operations und Technical Management (w/m/d) (ID-Nummer: 13746555)
We are seeking for a talented Enterprise Architect – Tools and Monitoring to join our team. You are expected to deliver technical and architecture design and formulate standards related IT monitoring landscape (Infrastructure, Application and Business Process).
How you can contribute: Lead sales for HydroMet software solutions across the DACH region, with a focus on strategic growth and customer success Develop and implement go-to-market activities for existing and new software solutions in both established and emerging segments Manage key customer relationships through Key Account Management and regular on-site business development visits Drive proactive new customer acquisition with a clear focus on outcomes („Hunter mentality“) Oversee and manage tender processes in the environmental sector Deliver structured, transparent CRM data and participate in monthly sales review meetings Represent KISTERS at trade fairs, conferences, and webinars, and actively build a strong network in the environmental monitoring community Provide valuable customer feedback (VOC) to marketing and product development teams Your Profile: A Master’s degree in Hydrology, Meteorology, or Civil/Environmental Engineering Minimum 5 years of experience in sales, consulting, or account management in the HydroMet or environmental monitoring market Experience in environmental data management and analysis software solutions. Technical background in the HydroMet instrumentation (Hardware) is a plus. Proven track record in achieving sales targets and managing long sales cycles independently Experience handling public or private environmental tender business A relevant professional network in the HydroMet or environmental technology sector Native-level fluency in German and excellent command of English (spoken and written).