Data analyst állások, munkák it programozás, fejlesztés területen

• Tech Stack: Python (Django/FastAPI), PostgreSQL/TimescaleDB, Redis, Celery, Docker, AWS, GitLab CI/CD, Sentry, Grafana
• Your Focus: API design & architecture, backend integrations, data flows, system reliability and scalability

• Definition and execution of automation and AI strategy aligned with GBS priorities and enterprise digital roadmap
• Leadership of a global organization including automation and AI teams across 4 locations

• Identification, assessment, and analysis of business requirements and needs related to systems and business processes
• Organization and facilitation of discussions between business and IT stakeholders to clarify and align requirements

• Tervezés és üzemeltetés AI-ügynökök és automatizált delivery pipeline-ok infrastruktúráján OKD/OpenShift platformon
• LLM-alapú eszközök integrálása DevOps folyamatokba automatizált kódreview-k, tesztfuttatások és runbook-generálás kialakításával

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• 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

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Planning, coordination, and delivery of signal detection and product safety scientist activities
• Support of mentoring of more junior colleagues
• Development of processes, tools, and systems
• Serving as lead on smaller FSP-type projects

Senior Data Engineer Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Senior Data Engineer Company Description Welcome to Kanadevia Inova, a global innovation leader in the...

Where you belong: Where you belong: ...

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design and build AI‑driven process architectures by integrating available AI platforms, technologies, agents, data, and knowledge sources....

Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control...

• Owning the end-to-end delivery lifecycle of Product Order Management and Shopping Cart
• Acting as the go-to technical delivery partner aligning business, IT, architecture, and leadership
• Shaping and prioritizing the backlog together with stakeholders

• Global product ownership for safety, health, and environmental compliance systems
• Monitoring corrective and preventive actions (CAPAs) and driving consistent application across global sites
• Documentation of process features, user stories, and requirements in technical platforms

• Design and maintain enterprise-wide data models including conceptual, logical, and physical layers
• Lead data architecture for core platforms and support cross-value-stream data requirements
• Define data standards, naming conventions, and modelling best practices