Data analyst állások, munkák

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

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....

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Integration of data ingestion, processing, transformation, and storage

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation and management of Azure cloud infrastructure
• Building and maintaining Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory integrations

• Ensure accuracy, reliability, performance, and compliance of AI models and systems across development, testing, deployment, operational use, and feature enhancement
• Develop and execute test plans and validation frameworks for AI products, ML solutions, LLM applications, and agentic systems

• Dashboard development for sustainability data visualization
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team
• Data analysis to identify trends, patterns, and insights

Why Now? The energy market is going through its biggest shift in 50 years. We no longer just manage electricity, we make it intelligent. RABOT is growing triple digits — and as we grow, so does our Energy Data Management team. Now is the perfect time to join: you won't learn inside a finished...

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients’ technical teams
• Solution design and configuration of data labeling and processing pipelines

• Lead the end-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tune complex Spark jobs and LLM inference patterns for maximum efficiency and minimum latency

• Design and build backend services and APIs supporting data ingestion, transformation, and delivery
• Own data storage and pipeline architecture including integration with streaming/event infrastructure
• Implement authentication and authorisation in line with cloud identity and access management

• Design and scale sovereign AI platforms on Azure Kubernetes Service (AKS)
• Ensure high availability and reliability for multi-agent AI systems
• Enable secure enterprise-grade AI deployments
• Architect Zero-Trust environments for LLM-based solutions

• Execution of specified Accounts Payable projects
• Support of ongoing system and process migrations
• Support of PTP Operations including Support & Compliance and Solution Centers Teams
• Participation in system upgrades and enhancements related to P2P processes

• Identification of client reporting requirements across account service lines
• Implementation of process improvements on account to increase efficiency
• Definition of business requirements for custom reporting
• Design and development of dashboards based on specifications

• Define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.
• Lead, develop, and grow a team of product managers, fostering a culture of ownership, collaboration, and continuous improvement.

Own and develop the integrated buy-side and sell-side pricing framework across both our Consumer Electronics and our Media business, for fast and slow turners, ensuring buy prices are explicitly connected to sell-side economics; this includes designing and continuously optimising the data-driven...

• Take ownership of data engineering initiatives within projects and act as a technical lead towards customers
• Design, build and evolve scalable data platforms and architectures aligned with business goals

Define and lead the Commercial Operations strategy, partnering with business leaders to enable high performing, insight led commercial teams across the region....

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Assist with installation, confguration, maintenance and upgrading of computer hardware and software
• Help in the deployment of replacement computers necessitated by security protocols and compliance standards
• Oversee inventory management and support responsible disposal of obsolete IT hardware

Aufbereitung, Harmonisierung und Analyse umfangreicher Register-, Preis-, Förder- und Marktdaten zu Photovoltaik, Batteriespeichern und Wärmepumpen...