What makes you stand out You have several years of experience leading teams in a payments, IT, or platform operations environment.You bring solid expertise in payment processing, ideally in the areas of card acceptance, authorization systems, or payment schemes.You hold a completed degree in Computer Science, Business Informatics, Business Administration, or a comparable qualification.You have experience operating highly available 24/7 systems as well as in incident and provider management.You also have a strong technical understanding of complex system architectures, integrations, and data flows.You have proven experience managing external service providers and leading complex, cross-functional projects.You are able to develop and implement technical concepts, feasibility analyses, and innovative solution approaches.You work in a structured and analytical manner and stand out through strong communication and stakeholder management skills.Very good German and English language skills, both written and spoken, complete your profile.
Unsere Technologien verstecken sich in vielen Bereichen des Alltags und begegnen Ihnen öfter als Sie denken: beispielsweise in Smartphones, auf Glasfassaden, in Solar- und PV-Anlagen oder auch in Mikrochips für die Computer- und Kommunikationsbranche. Deine Aufgaben Hast du Lust, mithilfe von Software komplexe Prozesse einfacher zu machen? Dich reizt es, aktiv an der digitalen Zukunft unserer Branche mitzuarbeiten?
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
To assist with the collation of all data resulting from the procedures and transfer this to the records on the computer and into the patient notes to satisfy HFEA regulations. In conjunction with senior nursing staff to be responsible for the booking of the patient’s treatment cycle, planning drug prescribing and liaising with GPs.
To assist with the collation of all data resulting from the procedures and transfer this to the records on the computer and into the patient notes to satisfy HFEA regulations. In conjunction with senior nursing staff to be responsible for the booking of the patient’s treatment cycle, planning drug prescribing and liaising with GPs.
To assist with the collation of all data resulting from the procedures and transfer this to the records on the computer and into the patient notes to satisfy HFEA regulations. In conjunction with senior nursing staff to be responsible for the booking of the patient’s treatment cycle, planning drug prescribing and liaising with GPs.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.
The position has a high travel requirement, domestically and/or internationally Capability to comprehend and adapt to rapidly changing technologies Proficient computer skills utilizing MS Office basic programs (MS Word, Excel, Outlook, PowerPoint) Will be a plus familiarity with several technologies such as Mechanical & rotating systems, basic understanding of hydraulic systems.
The position has a high travel requirement, domestically and/or internationally Capability to comprehend and adapt to rapidly changing technologies Proficient computer skills utilizing MS Office basic programs (MS Word, Excel, Outlook, PowerPoint) Will be a plus familiarity with several technologies such as Mechanical & rotating systems, basic understanding of hydraulic systems.