Tools kft állások Budapesten (it programozás, fejlesztés)

• Define and execute test strategies across the full stack: backend APIs (FastAPI), frontend UIs, and agentic workflows.
• Define testing standards and frameworks that enable developers to own unit and integration test coverage, in line with a shift-left quality model.

• Build and maintain internal tooling and UIs — workflow dashboards, content review interfaces, and evaluation visualization.
• Develop backend APIs using Typescript and Node.js that integrate with the agentic workflow platform.

• Designing and developing data models, Power BI reports and dashboards as a member of the Process Improvement & Automation team.
• Creating, optimizing and maintaining Excel macros and VBA solutions.
• Integrating various data sources (SAP, NAV, APIs, databases, Excel/CSV inputs).

• Define project scope, objectives, deliverables, timelines, budgets, and resource requirements in collaboration with global stakeholders.
• Develop, maintain, and execute detailed project plans.
• Manage multi-tier M&A projects or workstreams concurrently.

• Writing and maintaining Python-based automated system and regression tests
• Expanding automated regression coverage and improving stability of test execution
• Evaluating daily automated test results and handling failures
• Owning and driving system-level testing activities within a Scrum team

• Owning and delivering complex C++ features across the full development lifecycle [design, implementation, review, maintenance]
• Driving code quality improvements and reducing technical debt through refactoring and pragmatic modernization

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

• Design, develop, test features for S/4HANA Asset Management according and in compliance with SAP development guidelines, product standards and KPIs
• Adhere to SAP development standards, guidelines and best practices

Collaborate with project stakeholders to ensure business applications are developed in alignment with architectural standards, methodologies, and best practices...

• Monitor and control IT project budgets from initial request through completion, ensuring financial adherence and transparency
• Develop and maintain KPIs and performance dashboards to evaluate departmental effectiveness and identify improvement opportunities

• Lead, coach, and develop the EMEA IT support organization across multiple countries and time zones 
• Oversee daily IT support operations, service prioritization, and operational efficiency 
• Ensure high-quality IT service delivery, SLA compliance, and continuous improvement 

Work with feature teams to deliver complete components for broader platform integration while performing development on the Lending Operations Technology stack for both strategic initiatives and user-requested enhancements. ...

• Own and evolve the ERP (SAP) landscape, roadmap, and architecture
• Partner closely with business and IT teams to align SAP solutions with business needs
• Drive innovation through PoCs and new SAP capabilities
• Influence ERP strategy and roadmaps across IT and business stakeholders

• End-to-end management of IT projects, including scope, timeline, budget, and resource allocation
• Development, maintenance, and execution of detailed project plans
• Managing multiple parallel projects or workstreams, including M&A initiatives

Configuration and evolution of enterprise AI platforms and orchestration components Implementation of platform capabilities and contribution to AI use case implementation Development of APIs, service components, and integration logic for AI-enabled solutions Ensuring stability, performance, and...

Support daily data production workflows across multiple asset classes Perform quality assurance checks on incoming vendor data and internally generated analytics Investigate data quality issues such as pricing discrepancies, missing data, and analytical outliers Support maintenance of production...

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

Building and optimizing scalable data warehousing and lakehouse solutions Creating and owning robust ELT pipelines connecting multiple internal and external data sources Designing and implementing data models aligned with industry best practices Contributing to architectural decisions with...