Engineering állások, munkák it programozás, fejlesztés területen

• Diagnose current data architecture and data maturity, identifying gaps and improvement opportunities
• Design and develop data architecture together with data architects, ensuring security, scalability, and maintainability

Mastering Apache Spark and Databricks on AWS/Azure Delivering hands-on project work during bi-weekly sprint model Completing complex capstone projects Shadowing senior consultants on real-life engagements Delivering simulated projects Advising stakeholders and navigating requirements Contributing...

• Participation in design, POCs and development of complex tasks within Sportsbook B2B & Integrations Value stream
• Ensuring high-quality delivery by developers
• Collaboration with architects to communicate, align and implement architecture direction

• Building high-performing, AI-enabled teams within Budapest Global Center for Product Innovation
• Leading engineering for strategic products with design, delivery, and quality across multiple agile teams
• Defining technical strategy, system architecture, and integration of AI/ML-powered components

• Building robust, scalable technology and quantitative models supporting investment decision making, risk management, and regulatory requirements
• Contributing to the development of the Aladdin platform across diverse business areas

• Lead, inspire and guide a cross-functional team of software engineers, fostering a high-performing, collaborative and inclusive environment
• Drive performance, productivity, and career development of engineering team members, including hiring, onboarding and the full employee lifecycle

• Leading and growing a cross-functional engineering team combining developers and QA engineers
• Collaborating closely with Product Managers and Designers to shape features from ideation to delivery focusing on usability, performance, and customer value

• Support, invest in and develop an incredible team of talented and motivated engineers with clear expectations via practices such as 1:1s, goal setting, and constant feedback.
• Recruit, manage and retain the best talent for the delivery teams.

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment
• Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching

• Lead the strategic evolution and rationalisation of a large, complex Dynamics 365 platform, ensuring it becomes more efficient, maintainable, and accessible for integration with other systems.
• Identify opportunities to retire or simplify processes, while modernising architecture and functionality.

• Ownership of Day-to-Day Customer Relationship
• Joining Calls and Capturing Feedback
• Maintaining Clear Alignment Between Promises and Deliveries
• Being the Trusted Voice for Customers
• Leading Technical Execution Across Full Project Lifecycle
• Guiding Implementation Decisions as Technical Expert

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Design and own end-to-end solution architecture across distributed systems and cloud environments
• Translate business requirements into scalable technical solutions with clear articulation of trade-offs

• Design and build custom AI applications
• Embed AI across a customer's software development lifecycle
• Build enterprise systems using AI tools
• Ship production-ready work integrating with customer's environment
• Deliver solutions across full project lifecycle

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

Performing tasks related to the position....

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...

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Coordinating and executing testing activities within project teams
• Interpreting business and technical requirements to identify relevant test conditions
• Preparing and maintaining core testing artifacts such as test documentation, test scenarios, and supporting data sets