Data operations manager állás, munka

• Operate and maintain the central identity management system (tbd)
• Monitor system performance and ensure high availability and stability
• Handle incident management, troubleshooting and problem resolution
• Manage upgrades, patches and release deployments in coordination with vendors and internal teams

• An interdisciplinary environment between archives, AI, and software development
• Projects with real impact, from the digitization of historical collections to modern AI pipelines Freedom for your own ideas and personal development

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,...

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Strong product partnership: translating business requirements into clear technical plans,...

To deliver high-quality, user-focused frontend experiences, you build complex UI features in React & Next.js, develop component-based UI systems and optimize UX together with our Product Managers and Designers....

• Set the vision and lead the development of our core behaviour change systems features like goal-setting, micro habits, and intelligent feedback.
• Build and coach two product squads (with initial direct line management).

Take ownership of internal and external relationships Oversee delivery of data and AI consulting projects Serve as primary point of contact for internal stakeholders Oversee small and medium-sized engagements end-to-end Collaborate closely with clients and sales and delivery teams to drive...

• Design, implement, and maintain high-performance, scalable backend services that power our platform.
• Work on resilient distributed systems using Kafka for event-driven workflows and Redis for real-time, fast data access and caching.

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Develop, monitor, and document data pipelines in Azure Data Factory and Databricks.
• Assist in data analysis and troubleshooting to ensure smooth data flow across the platform.
• Build Power BI reports and contribute to new data models used by the business.

Technical Leadership and Strategy: Define and drive the technical vision for embedded software projects, including architecture, design, and development standards. Ensure alignment with project goals, technical feasibility, and scalability requirements....

• Develop and maintain a proprietary trading system within a high-performance crypto finance environment.
• Implement technical specifications end-to-end, covering both backend Python components and frontend interfaces.

• Lead and grow a team of product designers across 3-4 squads, fostering collaboration and high design quality.
• Shape the vision for Oviva's Behaviour Change Engine - our core habit-building system - to deliver better patient outcomes.

Manage (regional/segment-specific) business requirements (incl. business roles, data design) in the context of the global template SAP S/4HANA system in local fit-gap analyses under leadership of deputy/hub process owners...

Work closely directly with the CDO directly to design and run transformational programs from tech solutions to communication to training and everything else that is needed to get things done...

• Develop and enhance backend components and services using C# and .NET
• Design and optimise data models, stored procedures, and queries on MS SQL Server
• Contribute to the evolution of a high-availability digital client portal
• Collaborate with cross-functional teams (architecture, security, operations)

• Develop Python code to access and gather a large variety of geological databases into a consistent data catalogue
• Develop data processing pipelines to organise, prepare and transform the data into a format suitable for direct integration within models

Design, develop, and deploy advanced ML models, with a focus on optimizing Large Language Models (LLMs) for diverse NLP and multimodal applications (text, image, structured data) and Visual Language Models (VLM)...

Develop a content-aware data compression method for Distributed Acoustic Sensing (DAS) data that dynamically adapts to the characteristics of the signal to maximize data reduction while preserving essential information required for downstream machine learning (ML) tasks....

Application Development & Architecture: Design, implement, and maintain modern web and mobile applications using frameworks like Angular, .NET, and MAUI. Build cloud-native solutions that are scalable, maintainable, and aligned with microservices, event-driven architectures, and API-first...