Data kft állások, munkák

• Input cash-flow-related administrative data across various product lines
• Reconcile cash positions with intermediaries
• Maintain daily communication with fund managers and the client to obtain information necessary for successful operations

• Üzleti igények elemzése
• Folyamatok tervezése az érintett területek bevonásával
• Üzleti követelmény specifikációk készítése
• Üzleti területek támogatása
• Kapcsolattartás az IT és üzleti területek között
• Üzleti tesztek koordinálása
• Teszt tervek készítése
• Projektekben való részvétel

• 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 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

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing 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

• Capture and process customer orders accurately in the ERP system, including manual order creation (email, fax, mass upload).
• Review and validate orders via OCR tools, resolve errors and discrepancies.

• Design and implementation of portfolio solutions for clients
• Ongoing management of portfolio solutions to meet client objectives and constraints
• Keeping up to date with client trends, industry news, events, research, and regulations

Take ownership of the performance and continuous improvement of the powder coating process, including the paint plant, powder coating booths, curing process, and associated production and logistics processes....

• 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

• 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

• Full-cycle general ledger accounting in accordance with Hungarian accounting regulations
• Preparation of monthly, quarterly, and annual closings
• Supporting tax filings with accurate financial data
• Liaising with auditors and local authorities
• Reconciliation of general ledger and sub-ledgers

• Support execution of global e-invoicing initiatives across EMEA
• Assist in process improvement and transformation activities through automation, standardization, and process simplification
• Partner with Finance, Tax, and Technology teams to gather requirements, document processes, and identify gaps

• Writing technical documentation for aiMotive's SW products and solutions in English
• Supporting SW development customer projects with user-centered content
• Preparing and editing internal process and developer documentation
• Close cooperation with Software Development teams and Product Management

• Designing and building AWS infrastructure and landing zones
• Defining AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation
• Building CI/CD pipelines
• Leading migrations of customer workloads from on-premises, GCP, Azure, or Heroku to AWS

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain the entitlement decision cache with invalidation on entitlement changes

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

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Research, configure, and test AI tools including Claude, Gemini, Zapier, and n8n to improve the GTM stack
• Build proof-of-concepts for AI-driven lead research, automated email drafting, meeting summarization, and information hand-offs

• Analytical support with exposure through participation in global calls with senior leadership, stakeholders, and clients
• Creation of impactful PowerPoint presentations and reports for senior leadership and clients

• Leading and developing the Quality Control team (people management and daily operations)
• Managing the documentation of the integrated management system (creation, issuance, updates, and ensuring digital/online availability)