Data science állások, munkák programozó, fejlesztő kategóriában

• Native Android application development
• User interface and function design as planned
• Participation in the definition of requirements and estimation of tasks
• Writing Unit and UI tests and participation in developer testing
• Staying up-to-date with current technology trends in Android development

• Development of web applications in a team using the newest technologies
• Implementation of new functionalities in backend and frontend
• Design and estimation of user stories
• Participation in system design
• Design of user interfaces and functions as planned
• Participation in product roadmap design

• Design, development, and operation of data-driven PMO reporting and process solutions using Microsoft Power Platform, Python, and cloud technologies
• Integration and harmonization of data from different systems related to planning, reporting, and project management

• Build and optimize data pipelines and SQL queries against large investment datasets
• Prototype and evaluate new approaches: agent architectures, retrieval strategies, tooling and document findings for the team

• adaption and support of the proprietary DAQ frameworks MBS and DABC
• development and continuous improvement, and documentation of FPGA firmware
• testing and quality assessment of data acquisition installations
• system debugging and fixing of errors

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Operation of Power Platform components within the Cloud Data & Analytics Platform
• Monitoring platform usage, performance, and capacity
• Management and maintenance of Power BI gateways and secure data connections to Azure Lakehouse backend
• Oversight of role-based access control and workspace permissions

• You will play a crucial role in bringing new ML and CV functionality to our new revolutionary digital microscopy online platform at ZEISS
• Together with our team of software developers and machine learning engineers you will work on improving our automated machine learning and computer vision toolset

• Building and operating scalable data ingestion and CDC capabilities on Azure-based Lakehouse platform
• Developing pipelines in Azure Data Factory and Databricks
• Maturing engineering approach through Python projects and reusable frameworks

As a Software Engineer you will typically work in project teams of 5-10 people and gain experience in different roles throughout the life cycle of a software development project....

Working Student – Data, Infrastructure & Integrations and/or AI/ML Application Development (m/f/d) (40-60%) Your mission About Corealis Corealis Consulting stands for the implementation of profound changes that start at the core of the organization. We create lasting impact through clear structure,...

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Design, develop and maintain software for automated measurement, equipment control and data acquisition
• Build scalable desktop applications and software architectures for engineering and manufacturing

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Development, testing, and maintenance of data pipelines to extract, transform, and load (ETL) data from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions

• be part of powerful agile team of software engineers
• dive deep into the existing infrastructure applications and their architecture
• maintain and modernize them to make sure they stay state-of-the-art
• ensure high-quality software by adequate software design, data structures and good code test coverage

• Formulating objective functions and technical constraints for the optimisation of V1G and V2G charging strategies
• Integrating electrochemical battery models and battery ageing models into an optimisation framework

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities including effort estimation and proposal creation
• Architecting and planning robust data models and modern data platforms

Where you belong: Where you belong: ...