Data analyst állások, munkák

• Delivery of complex data engineering projects
• Leading small delivery teams
• Management of customer relationships
• Supporting pre-sales processes
• Mentoring junior engineers
• Contributing to hiring data talent

• Architect scalable inference services, APIs, and backend components for model-driven and LLM-powered product features
• Productionize AI and ML workflows with strong MLOps practices
• Define and implement evaluation frameworks for model quality, system reliability, latency, and cost

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers...

• Compliance with all Client and Cushman & Wakefield internal processes and data quality controls
• Delivery of the contracted service level
• Reading real estate leases and associated documents to record information regarding payments, critical dates, and responsibilities or comparing legal documents

• Design, build, and ship production retrieval systems
• Own vector store selection and operation including scalability, latency, reliability, cost, and multi-tenant design
• Build and operate indexing and refresh pipelines including chunking, embedding generation, backfills, deletes, and versioned indices

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• Collaboration with business stakeholders to gather, analyze, and document requirements within the Wholesale domain
• Translation of business needs into user stories and functional specifications
• Driving continuous improvement of Microsoft Dynamics 365 Sales CRM processes and functionalities

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Részvétel hosszútávú K+F, termékfejlesztési és ügyfél bevezetési projektekben
• Új termékek és termékfunkciók kitalálása
• Ügyfelek igényeinek és a termékekkel kapcsolatos piaci elvárások megértése
• Új funkcionális koncepciók kialakítása
• Követelmények gyűjtése és elemzése a specifikációs folyamatban

Applied AI Specialist - AI & Predictive Decision Science (m/f/d) Bayer Consumer Care AG Applied AI Specialist - AI & Predictive Decision Science (m/f/d) YOUR TASKS AND RESPONSIBILITIES The Applied AI Specialist bridges Finance process expertise and artificial intelligence capabilities within the AI...

• Üzleti igények összegyűjtése és elemzése
• IT rendszerek és szoftverek elemzése
• Fejlesztési igények meghatározása
• Funkcionális és technikai specifikációk készítése
• Üzleti célok és IT megoldások közötti összhang biztosítása
• Szoftverfejlesztési életciklusban való aktív részvétel

• Risk analysis and credit review for new and existing accounts of varying complexity
• Preparation, updating and filing of company information about customers
• Collections management across Europe and North America for multiple business units and locations

The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. They...

• Customer credit risk management for our products in the Buy Now Pay Later area across Europe
• Analysis and risk assessment of our consumer portfolios and their ongoing optimization via customization of business rules on merchant and overall portfolio level

• Home office opportunity
• Participation in projects lasting several months
• Understanding clients’ needs and acting as translator between client and developers
• Responsibility for used functionalities at clients and related questions
• Supporting project manager to promote opportunities as change requests

• Act as the central data expert and Business Data Steward for the German Mortgages business.
• Analyse customer, product, portfolio, channel and risk data to provide insights, identify trends, detect anomalies and support business decision-making.

• 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