Data science állások, munkák it programozás, fejlesztés területen

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

• 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

• Support Snowflake-to-Databricks data migration activities
• Design and implement scalable data pipelines in Snowflake and Databricks
• Develop data ingestion and transformation processes from various sources
• Migrate and optimize existing data workflows, ETL processes, and transformation logic

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• 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

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• 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.

• 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

Own the AI platform – take end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, AI agent frameworks, LLM integrations, and model routing infrastructure; shape the platform roadmap, own the platform budget, and drive build-vs-buy decisions in alignment with IT...

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...

• Design and implement observability with centralized monitoring, logging, and alerting strategy for custom integrations
• Define service level objectives (SLOs) and service level indicators (SLIs) aligned with customer expectations and business impact

• 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

• 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

• Lead the IT function across PEAC Solutions Europe, overseeing five teams and more than 50 employees in nine European countries.
• Own, manage, and optimize our core enterprise SAP platforms, ensuring they scale efficiently to support our complex leasing and finance products.

• You lead the strategy and roadmap for our enterprise eHealth portfolio, including cloud and platform solutions.
• You own and manage the full product lifecycle, from concept and MVP to launch, scaling, and end of life.

• Partnership with GBS Operations leadership and Global Process Owners to prioritize digital initiatives
• Oversight of digitalization efforts for SSC workstreams (R2R, P2P, Customer Care, O2C)
• Partnership with Global Process Owners to drive development pipeline for workstreams

• Design, implement, and maintain scalable BI and data processing solutions
• Develop and operate ETL pipelines for customer, booking, and product data
• Integrate data from various file- and REST-based Magenta APIs
• Generate and deliver reports and datasets for multiple downstream consumers

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery
• Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features