Data operations manager állás, munka

• Data Product Development: Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders.
• Data Mart Infrastructure: Build and maintain a robust data mart infrastructure within AWS Redshift to support reporting needs.

GEA Group is seeking a motivated, hands-on DATA ENGINEER (F/M/D) to join our global data platform team within our Enterprise IT organization at our headquarters in Düsseldorf. In this role, you will play a key part in designing, building, and optimizing data pipelines that enable advanced analytics...

• Closely collaborating with data analysts, analytics engineers and other consumers of Tourlane data to maintain and incrementally improve our hosted data services
• Improving and extending our existing data ELT processes, focusing on our ‘bronze' and ‘silver' layer within our data architecture

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

• You will drive all data-related activities within the global rollout, ensuring alignment with project goals and timelines
• Together with rollout managers, you will coordinate planning and execution of work packages across data preparation, mapping, validation, testing, and migration

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

Data Office & Stakeholder Engagement: Act as the main data contact for the Corporate Lending Programme and collaborate with Risk, Finance, IT, Treasury, and Lending teams to align data initiatives with business needs....

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

The independent analyses of secondary data, including insurance claims, electronic medical record, patient survey, and disease registry....

• Design, operation and continuous develop­ment of the central HPC and scientific compu­ting systems of the DZNE
• Help design and implement NVIDIA GPU solu­tion for scientific calcu­lation
• Participation in the planning and construc­tion of BeeGFS cluster, Slurm work­load manager and InfiniBand switches

PHARMACOEPIDEMIOLOGIST (M/F/D)- RWD/ EPIDEMIOLOGICAL/ PHARMACOEPIDEMIOLOGIC/ CLINICAL TRAILS/ BIOMARKER/ INSURANCE CLAIMS/ EHR/ MEDICAL/ MEDDRA/ SNOMED/ ICD 10/ CPT/ HCPCS/ R/ PYTHON/ SQL/ DATA VISUALIZATIONS/ R SHINY/ R MARKDOWM/ STATISTICAL ANALYSIS/ ENGLISH PROJECT: For our customer a big...

The Department of Translational Medical Oncology investigates the molecular and cellular mechanisms for cancer development, proliferation, and evolution. To strengthen our expertise in bioinformatics and machine learning, we are offering a position for a highly motivated scientist with significant...

PHARMACOEPIDEMIOLOGIST (M/F/D)- RWD/ EPIDEMIOLOGICAL/ PHARMACOEPIDEMIOLOGIC/ CLINICAL TRAILS/ BIOMARKER/ INSURANCE CLAIMS/ EHR/ MEDICAL/ MEDDRA/ SNOMED/ ICD 10/ CPT/ HCPCS/ R/ PYTHON/ SQL/ DATA VISUALIZATIONS/ R SHINY/ R MARKDOWM/ STATISTICAL ANALYSIS/ ENGLISH PROJECT: For our customer a big...

• You will take a key role in developing our secure edge platform for real-time data processing applications.
• You will design, implement, and evolve robust, and observable platform components, APIs and SDKs for developing, deploying, and operating real-time applications.

• A degree in Public Health, Epidemiology, Outcomes Research, Health Economics or a related scientific field; MSc or PhD in Epidemiology preferred
• Minimum 2 years of hands-on experience with Real World Data, non-interventional study design and analysis

• Feel and take ownership of the digital product roadmap, ensuring alignment with business objectives, customer needs, and technical feasibility.
• Develop user stories based on a deep understanding of customer/user needs and run the whole process until value creation

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

• Oversee and maintain Linux environments across global data centers, ensuring performance, security, and reliability.
• Design, implement, and manage Kubernetes clusters to support scalable and resilient services.

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...