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 team, you will take on the following responsibilities: You develop and maintain cloud‑based data pipelines and data products specifically for the Finance domain, built on our Snowflake database.You integrate financial and transactional data from various sources into our central Data Platform, optimize ETL processes, and ensure high data quality.You design and build new DataFlows and DataSets for Finance use cases and create as well as manage the corresponding Power BI reports.You collaborate closely with Finance Product Owners, Data Scientists, and Business Units to deliver meaningful analytical data products.You take ownership of data governance for all Finance data products and actively drive their further development.You support the modernization of our Finance data architecture and contribute to the migration towards cloud‑ and big‑data‑based technologies. What makes you stand out You hold a degree in Computer Science, Business Informatics, or a comparable qualification.You have strong expertise in SQL databases, including data modeling, table design, and data querying — ideally with experience in Snowflake.You bring experience in developing and integrating data products and are familiar with Azure Data Factory, Python, and modern cloud technologies (preferably Azure).You have hands‑on experience creating meaningful Power BI reports; knowledge of CI/CD or container technologies (e.g., Docker, Kubernetes) is a plus.You work analytically, communicate effectively, collaborate well in teams, and demonstrate a strong hands‑on mentality.You are fluent in English and have very good German skills; you also have a passion for financial databases and enjoy exploring new topics.
Software Implementation Implement software for new and existing products according to design and coding principles Write effective and comprehensive unit tests Perform integration activities on target hardware and integrate generated code Software Validation & Verification Validate and verify software from unit tests through to flight tests Ensure all requirements are verified in line with program needs Produce test reports to support product release, qualification, and certification Contribute to the overall V&V strategy Release Management & Planning Develop release plans aligned with system development and customer needs Ensure timely availability of releases to customers Follow defined release management processes Software Definition & Design Collaborate with systems engineering and customers to capture high-level software requirements Produce and maintain complete software design documentation for DeckFinder products Define high-level and low-level software requirements Contribute to the overall design strategy Team Contribution Support engineering planning and process improvements Participate in global technical sales support activities Join trials teams for safe and effective deployment of DeckFinder and test assets Qualifications & Requirements Education Bachelor’s degree (or higher) in Computer Science or related field Professional Experience Minimum 4 years in IT/Information Systems Proven experience in software engineering across V-Model responsibilities Strong track record in developing unit and integration tests Experience with airborne systems and DO-178B/C compliance is a plus Technical Skills Proficiency in C (mandatory) Embedded software development expertise (scheduler, U-Boot, firmware, I/O) Experience with MISRA-C standards Working knowledge of Xilinx ARM Cortex SoC Knowledge of C++ (QT), Python, MATLAB/Simulink is a plus Familiarity with Lauterbach Embedded Trace and debugger desirable Experience with Atlassian toolchain is nice to have Additional Skills Team player with a proactive mindset Ability to work in an international environment Strong analytical and problem-solving skills Languages Professional fluency in English (mandatory) German is an advantage Bei uns zählt die Qualifikation – unabhängig von Alter, Geschlecht, Behinderung, sexueller Orientierung/Identität sowie sozialer, ethnischer und religiöser Herkunft.
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.
Qualifications & Skills Strong technical communication skills, with the ability to clearly explain concepts and collaborate effectively with both technical and non‑technical stakeholders Advanced computer proficiency, including MS Office (Word, Excel, Outlook) and demonstrated ability to quickly learn and adopt new software platforms, CRM tools, data systems, or automation technologies 4‑year degree in a technical, business, or related field preferred, but not required Experience troubleshooting basic technical issues and navigating systems, dashboards, or digital workflows Ability to thrive in a fast‑paced, technology‑driven environment, managing multiple priorities while meeting deadlines Self‑starter with strong analytical thinking skills, able to investigate problems, interpret data, and follow established processes to completion with minimal supervision Excellent time management, organization, and multi‑tasking skills, with a proactive approach to solving operational or system‑related challenges Ability to work onsite (8:30am–5:00pm) and collaborate closely with technical and operational teams WÜSTHOF is an equal opportunity employer and we are committed to creating a diverse team.
Carry out the scanning and allocation of patient notes, invoices and other paperwork into the computer system as required. Manage IDEAS administration, including mail merges for non-lab documents and checking patient records when orders are received following Oxford TPA.