Role Purpose As the Sales Engineer, you have a history of honing and exercising technical, quantitative, and commercial capabilities to achieve material business outcomes. You are obsessed with understanding a client’s business and the best mechanism of extending a platform to help them meet their needs.
You listen and ascertain feedback to help product and core engineering iterate on the product. You thrive in meetings -- whether a technical sync or commercial pitch -- by understanding your audience and modulating your delivery appropriately. Principal Accountabilities Primary focus is on pre-sales technical support for IQVIAs Incentive Compensation solution built on the Orchestrated Analytics ecosystem which spans MDM, data warehousing, AI/ML, and data visualisation technology solutions.
You listen and ascertain feedback to help product and core engineering iterate on the product. You thrive in meetings -- whether a technical sync or commercial pitch -- by understanding your audience and modulating your delivery appropriately. Principal Accountabilities Primary focus is on pre-sales technical support for IQVIAs Technologies Orchestrated Customer Engagement.
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
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.
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
We support you on your journey: individual learning opportunities, world-wide job opportunities or technical training from our academy. The safety and well-being of our employees is important to us, which is why we set high standards for your workplace safety.
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.
Your Tasks Manage an interdisciplinary project team including engineering, production, and purchasing experts Deliver a cost-of-energy optimized technical system in close collaboration with all relevant functions Oversee all project phases from feasibility study to start of production in an international environment Ensure achievement of project goals regarding cost, quality, and timeline Apply professional project controlling using KPIs, progress evaluation, and deviation management Implement risk and stakeholder management throughout the project lifecycle Develop innovative approaches to reduce time-to-market and prepare decision proposals for management Your Profile Diploma or Master’s degree in Mechanical Engineering, Industrial Engineering, or equivalent Proven experience in engineering project management; PM certification is a plus Several years in the wind industry, ideally with drive train and nacelle expertise Strong MS Office skills, including MS Project Server; ERP and PLM experience advantageous Clear, structured communication and reporting skills; high quality awareness and assertiveness Intercultural experience and willingness to travel; fluent English, Spanish or German beneficial YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Responsibilities: Design, develop and integrate avionics systems (ATA 22, 23, 31, 34, 45, 46, 77) on aircraft levelCreate concepts and specify requirements for the onboard maintenance system and electronic checklistsAssist in the definition of the Engine Indication and Crew Alerting System (EICAS) and synopticsReview and release Part 21 compliance documentation (MoC 0-9)Prepare specifications and other type design documentsBe the point of contact for external suppliers in technical mattersSupport qualification, ground and flight test activitiesPerform technical trade studiesxDevelop technical solutions to in-service problem Requirements: Master’s Degree or Diplomingenieur in Aerospace 10 years of experience in aerospace industry Experience of at least one new aircraft development programFamiliar with EASA Part 21J und CS-25/FAR 25 Very good English language skillsExcellent team spirit, communication and interpersonal skills Will to assume responsibility Capable of structuring and organizing work in efficient and effective manner Strong analytical skills, hands-on mentality Creativity and the ability to act independently Technical problem-solving and decision-making ability What we offer: Future prospects in an innovative, growing, and agile companyAn exciting work environment with diverse career opportunitiesA tariff/above-tariff salaryFlexible working hours and the option for remote work30 vacation days per year and special leave for special occasions upon employment at Xtended EngineeringBonus programs for referrals and employee recruitmentTeam events Xtended Engineering GmbH bringt qualifizierte Ingenieure mit Unternehmen aus der Industrie und Wirtschaft zusammen.
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)
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 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.
Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup. Create technical documentation. Analyze and decompose business requirements into technical functionalities. Produce clean and efficient code based on business requirements and specifications.
Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensors Improve and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availability Act as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standards Improve and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysis Support in defining and improving image analysis methods and tools to derive quantitative feature values from images Extend the data infrastructure with additional information, e.g. from sensor performance characterization Data driven improvements of manufacturing processes Completed technical training in process engineering, data science, bioinformatics, or similar professional education Professional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environment Experience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log files Ability to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g. correlation analysis, cluster analysis) to support the development teams Skills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunity Good communication skills in a multicultural and multidisciplinary environment A thorough way of working and documentation Motivated team player with passion in promoting and driving fast-paced and ambitious projects Aptitude to understand and improve the underlying technical processes Proficiency in both English and German Unlimited project contract Fascinating, innovative environment in an international atmosphere Ihr Kontakt Ansprechpartner Jannik Fabio Eichin Referenznummer 865639/1 Kontakt aufnehmen E-Mail: jannik.eichin@hays.ch Anstellungsart Freiberuflich für ein Projekt
Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensorsImprove and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availabilityAct as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standardsImprove and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysisSupport in defining and improving image analysis methods and tools to derive quantitative feature values from imagesExtend the data infrastructure with additional information, e.g. from sensor performance characterizationData driven improvements of manufacturing processes Completed technical training in process engineering, data science, bioinformatics, or similar professional educationProfessional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environmentExperience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log filesAbility to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g. correlation analysis, cluster analysis) to support the development teamsSkills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunityGood communication skills in a multicultural and multidisciplinary environment A thorough way of working and documentationMotivated team player with passion in promoting and driving fast-paced and ambitious projectsAptitude to understand and improve the underlying technical processesProficiency in both English and German Unlimited project contractFascinating, innovative environment in an international atmosphere Ihr Kontakt Ansprechpartner Jannik Fabio Eichin Referenznummer 865639/1 Kontakt aufnehmen E-Mail: jannik.eichin@hays.ch Anstellungsart Freiberuflich für ein Projekt
What you will do Technical Authority: Define backend architecture standards, hosting strategies, and binding technical directions across all agency projects.
Herzlich willkommen bei der Dekra Arbeit. Werden Sie Teil unseres Teams als Manufacturing Engineering Technical Shopfloor Support (d/f/m) bei unserem Kunden in Hamburg-Finkenwerder. Ihre Aufgaben: Wiederkehrende technische Probleme erkennen, analysieren und lösen Optimierung der Arbeitsergebnisse durch Planung, Produktionssteuerung und Prozessgestaltung Erreichen der Bereichsziele und kontinuierliche Prozessverbesserung Nichtkonformitäten in der Produktion bzgl.
Be involved in strategic projects from offer phase to delivery Your profile: Bachelor or Master's Degree in the field of Manufacturing and Aeronautical Engineering Technical Experience (~5 years): Solid hands-on experience in production environments (blue-collar background preferred), ideally with exposure to Manufacturing Engineering activities.
Be involved in strategic projects from offer phase to delivery Your profile: Bachelor or Master's Degree in the field of Manufacturing and Aeronautical Engineering Technical Experience (~5 years): Solid hands-on experience in production environments (blue-collar background preferred), ideally with exposure to Manufacturing Engineering activities.
Herzlich willkommen bei der Dekra Arbeit. Werden Sie Teil unseres Teams als Manufacturing Engineering Technical Shopfloor Support (d/f/m) bei unserem Kunden in Hamburg-Finkenwerder. Ihre Aufgaben: Wiederkehrende technische Probleme erkennen, analysieren und lösen Optimierung der Arbeitsergebnisse durch Planung, Produktionssteuerung und Prozessgestaltung Erreichen der Bereichsziele und kontinuierliche Prozessverbesserung Nichtkonformitäten in der Produktion bzgl.
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.
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.
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
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.
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
We are looking for a skilled Engineering Project Manager (m/f/d) to lead and coordinate technical development projects related to Grid Code Compliance for wind turbines. In this role, you will be responsible for ensuring that our turbine platforms meet the latest regulatory requirements across various global markets.
You will manage complex, cross‑functional engineering projects from concept through serial production, ensuring technical excellence and strategic alignment. Acting as a central interface across multiple departments, you will drive development efficiency, manage risks, and ensure delivery of high‑quality turbine solutions.
We are looking for a skilled Engineering Project Manager (m/f/d) to lead and coordinate technical development projects related to Grid Code Compliance for wind turbines. In this role, you will be responsible for ensuring that our turbine platforms meet the latest regulatory requirements across various global markets.
Etex Building Performance GmbH sucht in eine/n Technical Engineering Graduate (m/f/d) - International Trainee Programme (ID-Nummer: 13731457)
Mentor and coach Frontend Developers, QA Engineers, helping them grow their technical skills, understand system architecture, and advance their careers. Act as the key technical partner to the Teamlead Product to align engineering effort with business goals, product vision, and user experience requirements to share a joint vision between product and tech.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
The professional possesses in depth knowledge of the critical stages of semiconductor manufacturing, with a strong focus on wafer test and chip assembly, and maintains a high level understanding of adjacent process stages, including front end wafer fabrication and final test.Degree in Computer Science, Software Engineering, Electrical Engineering or comparable technical fieldStrong IT / software background with understanding of software architecture, data models and interfaces, system integration, industrial software solutions ideally with a background in manufacturing IT or MES environmentsExperience in semiconductor manufacturing, preferably in Wafer Test / Wafer Sort, Assembly, Final TestSolid knowledge of semiconductor data formats and standards such as SEMI E142, SECS/GEM (E5), E183, G85, STDFAbility to analyze complex technical data flows and translate them into software requirementsExperience working at the interface between customers, engineers and software development teamsStrong analytical and structured communication skillsFluent English required, German skills are a plus Gesundheitsmaßnahmen Mitarbeiterrabatte Aus- und Weiterbildung Betriebliche Altersvorsorge Mitarbeiterevents Unbefristete Arbeitsverträge Workation Flache Hierarchien und kurze Kommunikationswege 30 Tage Urlaub sowie anlassbezogener Sonderurlaub Reduzierte Vollzeit In der znt Zentren für Neue Technologien GmbH in Deutschland sowie in Österreich liegen unsere Vollzeitverträge unter 40 Stunden pro Woche.
. --------------------------------------------- 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.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
We provide our employees not only with performance-based compensation but also with long-term career prospects—from developing technical and social skills to advancing into leadership roles. This is achieved through tailored training programs and relevant projects that enable career progression, for example, from a project team member to a project manager.
Deliver backend development for a multi-agent evaluation platform within an agile setupProvide technical consulting to the project team and contribute to solution designBuild and maintain backend services aligned with defined functional requirementsDesign and implement APIs for seamless integration across internal applicationsCollaborate with cross-functional teams to clarify and solve technical integration needsApply modern data processing and analysis techniques to support platform evolutionImprove system performance through testing strategies, code reviews, and tooling enhancementsSupport UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related fieldStrong expertise in Python programmingSolid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domainsProficiency with CI/CD pipelines using GitLabExperience with GitOps workflows and Kubernetes-based service hostingAbility to implement or contribute to user interface componentsKnowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology projectHighly collaborative, cross-functional environment with modern engineering practicesExposure to advanced ML, multi-agent systems, and cutting-edge data technologiesFlexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Ensure reliable and stable interaction between embedded software, electronics, mechanics, and firmware Develop intelligent, system-level test concepts to verify overall instrument functionality Analyze logs and system data and translate findings into corrective actions or improvements Take full ownership of issues throughout their lifecycle – from initial detection to final resolution Collaborate closely with cross-functional development teams and production during complex troubleshooting phases Deliver validated, high-quality work packages to global Service and Operations teams Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or Software Engineering Hands-on testing experience at the intersection of hardware and software Strong Linux expertise and proven experience in test automation Analytical, systematic and curious mindset with the ability to understand complex system interactions Experience in cross-functional collaboration and structured troubleshooting Fluent English skills; German is an advantage Opportunity to work in a modern, agile R&D environment with high technical impact Direct contribution to the improvement and reliability of complex diagnostic instruments Collaboration with experienced engineering and development teams in an international setting Ihr Kontakt Referenznummer 862979/1 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.
Work in an international, multicultural environment alongside leading engineering experts, where innovation meets precision and sustainability. This role offers you the opportunity to develop deep technical expertise in item designation and asset management while collaborating with global teams, customers, and partners on mission-critical projects that shape the energy transition.
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!
Your assignments Water treatment and desalination projects: study, design and supervision Short- and medium term assignments in English and/or French/Spanish speaking countriesCoordinate and expand desalination expertise within the organisation Your responsibilities Studies, design, tender documents and supervision for water desalination projects Being part of multidisciplinary teams Management of technical deliverables and reporting Your profile University degree in engineering or degree of similar level (B.Sc., M.Sc., PhD)At least 5 years of profound professional experience in desalination (SWRO)Experience with other technologies (MED, MSF), would be an advantage Experience in process and hydraulic engineering in water supply Experience relevant to assignments in developing countries desirableVery good command of the English and/or French/Spanish languagePrepared for worldwide travelling Flexible attitude We offer Interesting international projects (public and private Clients)Friendly international working environmentWorking in multidisciplinary teamshigh degree of personal responsibility Period of appointment: unlimited, the position is also available for freelance experts.
Your tasks Design, develop, and implement control system software for industrial automation projects Program PLCs (Programmable Logic Controllers), HMIs (Human-Machine Interfaces), SCADA (Supervisory Control and Data Acquisition) systems, and other control devicesCollaborate with engineering teams to define system requirements and specificationsPerform system integration, testing, and troubleshooting to ensure optimal performance and reliabilityProvide technical support and assistance during installation, commissioning, and maintenance phasesStay current with emerging technologies and industry trends to drive continuous improvement and innovation Your profile Bachelors degree or equivalent in Electrical Engineering, Computer Engineering, Software Engineering or related fieldProven experience in programming and configuring PLCs, preferable Siemens SIMATICProficiency in programming languages commonly used in industrial automation, such as ladder logic, structured text, and function block diagramFamiliarity with HMI or SCADA software, such as WinCC, Zenon or InTouch.Strong problem-solving skills and attention to detailExcellent communication and interpersonal abilitiesAbility to work independently and as part of a team in a fast-paced environment Additional information Competitive salary commensurate with experience Comprehensive benefits package, retirement plans, and paid time offOpportunities for professional development and advancementCollaborative and inclusive work environmentExposure to diverse projects and industries
Ensure reliable and stable interaction between embedded software, electronics, mechanics, and firmwareDevelop intelligent, system-level test concepts to verify overall instrument functionalityAnalyze logs and system data and translate findings into corrective actions or improvementsTake full ownership of issues throughout their lifecycle – from initial detection to final resolutionCollaborate closely with cross-functional development teams and production during complex troubleshooting phasesDeliver validated, high-quality work packages to global Service and Operations teams Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or Software EngineeringHands-on testing experience at the intersection of hardware and softwareStrong Linux expertise and proven experience in test automationAnalytical, systematic and curious mindset with the ability to understand complex system interactionsExperience in cross-functional collaboration and structured troubleshootingFluent English skills; German is an advantage Opportunity to work in a modern, agile R&D environment with high technical impactDirect contribution to the improvement and reliability of complex diagnostic instrumentsCollaboration with experienced engineering and development teams in an international setting Ihr Kontakt Referenznummer 862979/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Your Responsibilities Act as the main contact for all AutoCAD-related topics within the internal team Communicate continuously with development teams to identify new requirements and features Design, introduce, and integrate new functions into the engineering design tool architecture Develop and implement new modules and features, including testing and documentation Support development and configuration in the AutoCAD environment Provide technical support and guidance to users regarding application functionality Your Qualifications Degree in mechanical engineering, computer science, mathematics, electrical engineering, physics, or a comparable field Several years of professional experience as an AutoCAD Application Specialist or Developer Extensive experience working in agile development teams Very good knowledge of Autodesk products, especially AutoCAD and related products Experience in developing CAD interfaces (e.g.
About us Your Contribution Perform comprehensive failure analysis using advanced tools and techniques.Analyze complex problems using quality tools and interpret data for actionable insights.Maintain FA tracking lists, equipment logs, and ensure laboratory safety and organization.Interface with process owners to understand key processes and failure mechanisms.Source and manage external laboratories for advanced FA capabilities.Provide clear documentation and publish detailed analysis reports.Participate in cross-functional meetings to communicate findings.Perform data analysis to support root cause investigations and trend monitoring.Support ISO9001, ISO14001, ISO45001 & IATF16949 system implementation.Share technical knowledge to develop team capabilities. Your Profile Bachelor’s Degree in Engineering, Science, or Mathematics.2–5 years in manufacturing with hands-on failure analysis experience.Proficiency in failure analysis techniques and tools (e.g., SEM/EDX, AFM, FTIR, IC, ICP, GC-MS).Basic knowledge of QM tools and quality assurance methods (Gage R&R, MSA, SPC, FMEA).Familiarity with ISO standards and data analysis principles.Strong communication, analytical, and problem-solving skills.Detail-oriented, result-driven, and able to work collaboratively.
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!
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.