Drive system problem resolution and root cause analysis Ensure and maintain integrity of code base during concurrent development cycles Collaborate with experts in a variety of technologies to come up with the best overall solutions Collaborate with cross functional team to resolve data quality and operational issues Identify opportunities for team standardization in coding, deployments, documentation, and other related areas and create said standards Profile Excellent data analysis and project management capabilities. Strong problem-solving and communication skills. Good understanding of data architectures, data engineering processes and modern frameworks.
Drive system problem resolution and root cause analysis Ensure and maintain integrity of code base during concurrent development cycles Collaborate with experts in a variety of technologies to come up with the best overall solutions Collaborate with cross functional team to resolve data quality and operational issues Identify opportunities for team standardization in coding, deployments, documentation, and other related areas and create said standards Profile Excellent data analysis and project management capabilities. Strong problem-solving and communication skills. Good understanding of data architectures, data engineering processes and modern frameworks.
Multiple career opportunities; Medical, Dental and Vision coverage; Talent development; Team Events Please feel free to contact us You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT Glass (Malaysia) Sdn.
As being part of this team, you will provide end-to-end security consultancy on cloud application and infrastructure, building security into our IT solutions from very beginning. The projects will seek your advice and support along the risk position of the service in its lifecycle. Your work is essential to protect DPDHL group’s information assets in a dynamic threat landscape by secure design.
Proactive and self-driven, with the ability to work independently and drive projects from conception to completion Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders Pragmatic and structured approach to problem-solving, consistently delivering efficient, data-driven solutions.
Shape the Future of AI‑Driven Retail Experiences At GK – a global leader in retail technology and part of the Fujitsu Group – you won’t just manage projects. You’ll help redefine how retailers use AI to elevate customer experiences, streamline operations, and unlock new business potential.
•Experiences with senior stakeholder management and strong communication /presentation skills. •Experience in project / risk management and financial management (budgeting, forecasting, strategic planning) for public cloud services. •Multi-tasking and prioritization skills and ability to work highly self-managed.
What makes you stand out You hold a degree in (business) mathematics, computer science, economics, or a comparable field.You also bring relevant professional experience in the data domain, for example as a BI Engineer or Data Engineer.You have strong knowledge of SQL and Python, as well as proven experience in developing cloud‑based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake.You stand out through your analytical skills and project management capabilities, as well as a strong goal‑oriented and problem‑solving mindset.You communicate confidently in German and English.
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
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!
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.
Joining the Data Science & Advanced Analytics team provides the opportunity to work with large and complex data and methodologies in a fast-paced, ever-changing environment to support international customers. As a member of our team you can expect exciting international projects with interesting development perspectives. Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care.
You will find on our homepage https://www.dpdhl.jobs/grow-program more detailed information on the application process, program schedule and typical project positions in the various business areas. We are looking forward to your application. CONNECTING PEOPLE. IMPROVING LIVES. #growprogram #growhr
Münchner Verkehrs- und Tarifverbund GmbH sucht in eine/n Data Analytics Project Coordinator (w/m/d) (ID-Nummer: 13678757)
Zur Verstärkung unseres Marketingteams am Standort Hannover suchen wir zum nächstmöglichen Zeitpunkt einen Product Data & Project Manager (m/w/d). Deine Aufgaben Pflege und Weiterentwicklung des Product Information Management Systems (PIM) sowie des Digital Asset Management Systems (DAM) Sicherstellung der Qualität, Konsistenz und Aktualität aller Produktdaten Artikelanlage und -pflege in SAP zur Unterstützung des Produktmanagements Betreuung angebundener Produktdaten- und Verkaufsplattformen sowie Pflege der Markenwebsites Enge Zusammenarbeit mit Marketing, Customer Service, Supply Chain Management und Online-Team Koordination kundenspezifischer Produkt- und Displayprojekte (Tailormade-Aktivitäten) Abstimmung mit Lieferanten sowie Steuerung von Verpackungs- und Etikettendruckdaten Monitoring und Fehlerbehebung der Schnittstellen zwischen PIM, DAM, SAP und weiteren Systemen Mitarbeit an der Optimierung von Prozessen und Schnittstellen im Produktdatenmanagement Schulung und Unterstützung von Kolleg:innen im Umgang mit PIM- und DAM-Systemen Mitarbeit in Digitalisierungs- und Projektinitiativen im Marketingumfeld Dein Profil Kaufmännische Ausbildung oder marketingorientiertes Studium Berufserfahrung im Datenmanagement, in der Datenpflege oder in produktnahen Funktionen Erfahrung im Umgang mit PIM- und DAM-Systemen sowie SAP von Vorteil Sehr gute Kenntnisse in MS Office, insbesondere Excel Strukturierte, eigenständige und sorgfältige Arbeitsweise Analytisches Denkvermögen sowie klare, lösungsorientierte Kommunikation Teamfähigkeit und hohe Serviceorientierung Fließende Deutschkenntnisse (mindestens C1-Niveau) Gute Englischkenntnisse in Wort und Schrift Was erwartet dich bei uns?
In Zusammenarbeit mit unseren Bestands- und Neukunden leben wir eine Community of Practice und pflegen intern eine kollegiale Firmenkultur in einem dynamischen Team. Unsere Stakeholder sind u.a Project Leads, Product Owners, Business Analysts, Security Engineers, Operations Teams, Test Teams. Häufig verwenden unsere Kunden und Projekte u.a. die Technologien Java / SpringBoot, JavaScript / TypeScript, KeyCloak, PostgreSQL, MongoDB, JMS, JSON, REST, Kafka, Quarkus, AWS, AZURE, GCP, Docker, K8S, Gitlab, Github, Maven, Terraform, Helm.
In Zusammenarbeit mit unseren Bestands- und Neukunden leben wir eine Community of Practice und pflegen intern eine kollegiale Firmenkultur in einem dynamischen Team. Unsere Stakeholder sind u.a Project Leads, Product Owners, Business Analysts, Security Engineers, Operations Teams, Test Teams. Häufig verwenden unsere Kunden und Projekte u.a. die Technologien Java / SpringBoot, JavaScript / TypeScript, KeyCloak, PostgreSQL, MongoDB, JMS, JSON, REST, Kafka, Quarkus, AWS, AZURE, GCP, Docker, K8S, Gitlab, Github, Maven, Terraform, Helm.
Cost Manager - Data Centers (m/f/d) We are seeking an experienced Cost Manager to oversee financial control and cost management for data center construction projects, ensuring accurate budgeting, cost forecasting, and value engineering while maintaining project profitability and stakeholder expectations.
And it does so with a unique concept: It takes on the complete responsibility for innovative IT & SAP projects while at the same time defying the "War for Talent" with customized and scalable staffing services for holistic IT sourcing and can scale to any size in any technology through global and flexible team augmentation.
As Project Manager Material Master Data (m/f/d) you ensure structured, reliable and high‑quality material data across global Nordex functions.
Stellenbeschreibung Wir suchen für ein Unternehmen aus der Energiebranche für den Standort Helmstedt einen Project Manager Energy Data & Processes (m/w/d) in Teilzeit befristet bis zum 01.02.2027, Übernahme/ Verlängerung möglich Aufgaben: Eigenverantwortliche und selbstständige Aufbereitung, Prüfung und Plausibilisierung von Blindleistungsdaten sowie Klärung von Abweichungen und Meldungen mit externen Anbietern Unterstützung und Bereitschaft zur Ausführung der marktgestützten Blindleistungsbeschaffung mit Fokus auf abrechnungsrelevanten Daten, Fristenmanagement und Prozesskoordination Verantwortung für und Durchführung der Abrechnung der Blindleistungsbereitstellung gegenüber Netzbetreibern inkl.
As Project Manager Material Master Data (m/f/d) you ensure structured, reliable and high‑quality material data across global Nordex functions.
Universitätsklinikum Köln (AöR) sucht in eine/n Project Coordinator / Data Steward in Clinical Research (f/m/x) Biomedizinische Informatik – Datenintegrationszentrum (ID-Nummer: 13753066)
YTD reporting Hands-on experience in GRDC form design (Manage Forms) Experience with Package Management (Manage Package app) Ability to design validation rules and manage controls in the Data Monitor Solid understanding of GRDC ? Group Reporting data flows Option to work on a long-term project Ihr Kontakt Referenznummer 860031/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
YTD reportingHands-on experience in GRDC form design (Manage Forms)Experience with Package Management (Manage Package app)Ability to design validation rules and manage controls in the Data MonitorSolid understanding of GRDC ? Group Reporting data flows Option to work on a long-term project Ihr Kontakt Referenznummer 860031/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
We maintain close relationships with customers across all industries and therefore can provide engineering specialists with exciting projects and attractive job opportunities, drawing on your personal interests and experience. As your professional companion, we support you throughout the entire process, from the first contact to the first day on your new job – all this completely free of charge.
We maintain close relationships with customers across all industries and therefore can provide engineering specialists with exciting projects and attractive job opportunities, drawing on your personal interests and experience. As your professional companion, we support you throughout the entire process, from the first contact to the first day on your new job – all this completely free of charge.
Change Management Create playbooks, training materials, and run enablement sessions for brand teams Act as the primary point of contact for CRM best practices and troubleshooting Profile Bachelor’s degree in Marketing, Business, or related field 3+ years in CRM, email marketing, or lifecycle marketing (multi-brand experience preferred) Proven track record with Salesforce Marketing Cloud or similar ESP Experience with CRM systems (Microsoft Dynamics preferred) GDPR and data privacy best practices, lifecycle marketing strategies and automation frameworks, familiarity with Jira or similar project management tools Workplace: Bolzano, Milano (IT) or Kiefersfelden (DE) If you are interested to work in a challenging, international and dynamic environment then apply now!
Change Management Create playbooks, training materials, and run enablement sessions for brand teams Act as the primary point of contact for CRM best practices and troubleshooting Profile Bachelor’s degree in Marketing, Business, or related field 3+ years in CRM, email marketing, or lifecycle marketing (multi-brand experience preferred) Proven track record with Salesforce Marketing Cloud or similar ESP Experience with CRM systems (Microsoft Dynamics preferred) GDPR and data privacy best practices, lifecycle marketing strategies and automation frameworks, familiarity with Jira or similar project management tools Workplace: Bolzano, Milano (IT) or Kiefersfelden (DE) If you are interested to work in a challenging, international and dynamic environment then apply now!
For small projects may also act as an informal project manager •Manage the PdS Risks, PdS Supplier and PdS Sourcing areas. Managing the communication with stakeholders, Service and Risks owners as well as with auditors and PdS MT YOUR SKILLS •Analytical thinking and strategy •Advanced in English both oral & written •Solid with Excel (Visual Basic as a big advantage), PowerPoint and Global Service Now (GSN) •Interest in data management, control techniques IT know-how •General IT know-how •Developing in Business area knowledge •Knowledge of Incident, Change & Configuration management, ITIL foundations, iShare and MyNet platforms (as an advantage) WE OFFER •Friendly team •Modern offices in Chodov •Huge number of internal job opportunities within the company •Home office possibilities •Permanent contract •CAFETERIA employee benefit program with wide selection of benefits from Edenred •Extra week of holiday (25 days/year), 6 Self-sickness days/year, Full salary compensation for up to 10 days absence due to illness per calendar year, Lunch vouchers fully covered by company
Your profile Education: Bachelor/Master Degree in Computer Science, Statistics, or Business Informatics / Administration / Economics with a quantitative background or comparable.Experience: At least 3 years of BI experience and process managementLanguage skills: Excellent written and spoken English skills;Technical Skills:At least 1 year of experience with S/4, BW/4, and DatasphereAt least basic knowledge of SQLExperience in using statistical methods and its application to business process Experience in the Google Cloud, especially BigQuery and Data Studio, is appreciated Project management experience and working with scrum is a plus.Soft Skills:Business acumen: Quick understanding of business processes is a must.Problem-solving: Strong abilities to figure out solutions and a keen eye for details.Communication: Excellent skills in both writing and speaking to explain technical things clearly.Attitude: A proactive attitude, meaning you like to take initiative, and a strong desire to learn and grow your career in database administration.Teamwork: Ability to work effectively both on your own and as part of a larger team.
What you will do: Prepare and structure topics, requirements, and stakeholder requests Answer stakeholder questions and create clear, reliable documentation Support and drive new projects from concept phase to implementation Manage and refine incoming requests via the team’s ticketing workflow Derive and define development tasks based on business and data needs Analyze data flows and assess the impact of changes on existing data deliverables Evaluate new data sources and identify opportunities for process optimization Ensure transparency and quality of KPIs and financial data Who you are: 1+ years of experience in a Technical Business Analyst, Data, or similar role Hands-on mentality and strong willingness to learn Experience working with data and IT systems Solid SQL skills (BigQuery is a plus) Understanding of data structures and data flows Basic programming knowledge is a nice to have 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.
MySQL Python Google BigQuery Gitlab What you will do Conduct in-depth analyses on shop user behavior to uncover actionable insights Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users’ shopping experiences Provide full-cycle A/B test analytical support to optimize shop performance Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability Design and implement advanced dashboards, enabling self-service analytics across the organization Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making Who you are Advanced proficiency in SQL for complex data analysis and querying large datasets Expertise in e-commerce KPIs and funnel analysis Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus) Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation Strong understanding of customer segmentation and cohort analysis in the e-commerce context Proactive and self-driven, with the ability to work independently and drive projects from conception to completion Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
DMK GROUP - DMK Deutsches Milchkontor GmbH sucht in eine/n Quality Manager (m/w/d) QM Data and IT Projects / Lebensmitteltechnologie (ID-Nummer: 13747831)
Deliver backend development for a multi-agent evaluation platform within an agile setup Provide technical consulting to the project team and contribute to solution design Build and maintain backend services aligned with defined functional requirements Design and implement APIs for seamless integration across internal applications Collaborate with cross-functional teams to clarify and solve technical integration needs Apply modern data processing and analysis techniques to support platform evolution Improve system performance through testing strategies, code reviews, and tooling enhancements Support UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related field Strong expertise in Python programming Solid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domains Proficiency with CI/CD pipelines using GitLab Experience with GitOps workflows and Kubernetes-based service hosting Ability to implement or contribute to user interface components Knowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology project Highly collaborative, cross-functional environment with modern engineering practices Exposure to advanced ML, multi-agent systems, and cutting-edge data technologies Flexible 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
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
OHB System AG sucht in eine/n Senior System Engineer (m/f/d) for European Space-based Defence Projects (ID-Nummer: 13721017)
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.
Main Tasks and Responsibilities Continuous monitoring of all critical data center infrastructures (power, cooling, electricity, fire protection) Conducting regular inspection rounds and documenting system statuses Responding to alarms and fault messages according to established procedures Performing initial diagnostics for technical problems and initiating appropriate measures Documentation of all incidents, measures, and completed work Support with planned maintenance work and infrastructure projects Ensuring compliance with security guidelines and access controls Communication with customers and external service providers during on-site deployments Processing support requests during the shift Handover of relevant information to subsequent shift teams Requirements Profile Completed training in a technical profession (electrical engineering, IT systems electronics, mechatronics or comparable) Ideally first experience in data center environments or IT infrastructure Basic knowledge in power supply, climate technology, and network technology Understanding of the importance of critical infrastructure and its high availability Technical problem-solving understanding and methodical approach Fluent in German good English Team player with independent working style Resilience and ability to act calmly in emergency situations Basic knowledge in the use of DCIM and ticketing systems Additional Desirable Qualifications Initial experience with data center components such as UPS, HVAC systems, generators Basic knowledge of server and network hardware Understanding of security and compliance requirements in data centers Knowledge of MS Office and monitoring tools Class B driving license Working Environment Shift work according to shift schedule (early/late/night) State-of-the-art data center environment with strict security and quality standards Team-oriented work in a technically demanding environment Opportunity for continuous education and professional development Responsible position with direct influence on the operational security of critical IT infrastructure Additional Information Orientation: Comprehensive training on all systems and emergency procedures Location: On-site –Schwalbach, DEU If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.
Make timely, informed decisions under pressure, balancing risks and project objectives. Solve project challenges creatively and flexibly, adapting to unforeseen changes while maintaining progress. Communicate goals, expectations, and project status clearly to teams and stakeholders.
How you can contribute: Develop accurate forecasts and predictive models, identifying trends, seasonality, and variances.Transform complex datasets into clear, executive-level dashboards and reports to support business decisions.Maintain high-quality datasets through rigorous data cleaning, validation, and governance practices.Translate analytical insights into actionable strategic recommendations for stakeholders.Lead, motivate, and coordinate project teams across international locations.Organise and manage projects efficiently, including scheduling, resource allocation, and task prioritisation.Make timely, informed decisions under pressure, balancing risks and project objectives.Solve project challenges creatively and flexibly, adapting to unforeseen changes while maintaining progress.Communicate goals, expectations, and project status clearly to teams and stakeholders.
R, Python), and cloud environments.Key Competencies: Fluency in English, strong problem-solving skills, proactivity, assertiveness, and experience with project and change management methodologies. Fluency in German is a Plus. Think outside the box with us! #shapeandcreate
You can always count on our full support and the stability we offer as an international, family-owned business. Exciting tasks and projects await you in one of our 71 subsidiaries around the world, along with attractive training compensation. Sounds exciting? Here’s the best part: with a wide range of continuing education opportunities, we also aim to offer you long-term prospects beyond your training or studies.
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services Products you need to be familiar with •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.
Job Overview: As an Associate Director, Biostatistics, with regional/site presence, you will manage a team of Biostatistics staff and fulfil the role of site head or functional head within a site. You will provide direction and guidance in carrying out project assignments, interfacing with clients and other internal departments, and applying advanced statistical methods to project work.
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services APPLICATION YOU WILL USE •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.
As part of our dynamic, ambitious, and data-driven Paid Social & App Marketing Team, you’ll join a supportive environment that values collaboration, innovation, and knowledge-sharing. We work with focus and passion – whether through close project collaboration or connecting at team events. As a Marketing Manager (m/f/d) App Marketing, you will take ownership of planning, executing, and optimizing App Marketing and Paid Social campaigns across multiple platforms.
In return, we expect you to know the in’s and out’s of Node, sucessfully delivering scalable and resilient projects to Production. You should be eager to get your hands dirty with microservices and APIs, but we’ll make sure you touch the full stack – our NoSQL database, global API gateway, Machine Learning engine, public cloud infrastructure (GCP) and many more.
As part of our team, you will take on the following responsibilities: You manage, monitor and continuously develop service and performance relationships with external partners and service providers in a cloud environment.You gather, assess and translate business requirements from internal departments into sustainable and scalable cloud services.You continuously optimize existing services and service level agreements, balancing quality, performance and cost efficiency.You support the definition, sourcing and implementation of new service offerings and actively contribute to the selection of suitable service providers.You evaluate new technologies and alternative solutions and provide well‑founded recommendations to meet current and future business requirements.You plan, coordinate and deliver IT and cloud projects end‑to‑end, from conception and implementation through testing, rollout and transition into operations.You perform economic evaluations of cloud and infrastructure costs and actively drive cost optimization initiatives in line with FinOps principles.You design and implement measures to increase efficiency, for example through automation and the use of AI‑based solutions.