Program állások XI. kerületben (it programozás, fejlesztés)

• Ensure the quality of data across various domains (Security, Portfolio, Counterparty, Ratings, Benchmark, Analytics, Pricing) and within relevant systems.
• Perform assigned daily/monthly processes, escalating issues or determining solutions to remove obstacles for the team.

Process Oversight: Support the planning, implementation, optimization, and measurement of business processes to drive operational excellence....

• Supports the implementation, execution and development of MOL Group Test and Release Management strategy on his/her area.
• Supports Major and Minor Releases and coordinating the related activities (Prod/Test/Dev env.).

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

• Leading product discovery, definition, and experience-design activities for complex digital systems in regulated industries
• Owning the product definition process translating high-level business objectives and requirements into tangible product plans

• Mapping and documenting business needs together with the Designers, Consultants, Architect and client stakeholders
• Transforming business requests into actionable development plans, user stories, and robust acceptance criteria

• Lead and develop the E&P IT Operations, application, and data teams.
• Mentor the team to deliver high-quality solutions and uninterrupted operations.
• Communicate clearly regarding team goals, deadlines, and required training.

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• 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

• Ensuring complete upload of client portfolios into MSCI's proprietary Risk Management products
• Generating reconciliation and quality assurance reports after each upload
• Checking data for correctness
• Responding to client queries

• Coordinate and manage daily operation of Enterprise Server Services (ESS) team with 8 team members
• Figure out new directions, plans to be able to improve ESS services and to deliver more value to the business.
• Managing a team of 8.

• Managing the project lifecycle delivery of Sustainability & Climate Corporate Solutions for the Corporates client segment
• Serving as the dedicated client liaison during each project engagement

• Kutatás-fejlesztési projektek végigkövetése a tervezéstől az átadásig
• Beágyazott vezérlők programozása C nyelven
• Prototípus berendezések beüzemelése
• Prototípus berendezések tesztelése
• Belsős és partner cégek villamos mérnökeivel való együttműködés

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Üzleti igények megértése és technikai megoldási javaslatokká alakítása.
• Rendszertervek, specifikációk, folyamatmodellek, UML‑diagramok készítése.
• API‑k, interfészek, adatmodellek tervezése architekt és fejlesztői támogatással.
• Rendszerfunkciók, folyamatok és követelmények definiálása.

• Managing Redwood financial system activities
• Troubleshooting user incidents
• Monitoring scheduled automation jobs
• Aiding individual sites during month-end closing procedures
• Supporting regression testing for Redwood software updates
• Ensuring connected SAP systems remain stable during add-on upgrades

• Technikai menedzsment és fejlesztés a csapat felhőalapú adatplatformján és adatmodellein Azure Databricks környezetben
• A Data-Driven Project Modelling (DPM) motor fejlesztése és karbantartása DevOps legjobb gyakorlatok szerint
• Üzleti logika adatmegoldássá történő átalakítása multinacionális csapatban

• Facilitation and leadership of strategic initiatives for a defined customer or user
• Management and guidance of multi-functional project teams
• Management and enhancement of customer relationships

• AI-Native Infrastructure: Modern, GPU-intenzív AI/ML keretrendszerek szoftveres alapjainak megtervezése és kiépítése.
• Deep Containerization: Komplex Docker image-ek faragása, kifejezetten GPU-kompatibilis, AI workload-specifikus erőforráskezelésre (NVIDIA-docker, CUDA optimalizáció).

Virtualizáció (VMware): A teljes VMware vSphere környezet (ESXi, vCenter) adminisztrációja, teljesítmény-optimalizálása és életciklus-menedzsmentje....