Data állások XIV. kerületben (it programozás, fejlesztés)

• 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

• Design, develop, and maintain interactive Power BI dashboards and reports to support business decision-making.
• Develop and optimize complex DAX measures, data models, and tabular solutions for scalable analytics.

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• act as process owner of data management regulations and ensure proper fulfillment of defined roles and responsibilities including its enchancement according to business requirements
• support the operation of data management processes and continuously monitor data quality

• Supporting the Vodafone Purchasing colleagues in data cleaning and regular reporting activities
• Helping to create and manage reports, and support with automation of different tasks
• Supporting senior team members with regular and ad-hoc requests
• Taking part in projects conducted by the team

• A társterületek szakmai támogatása és együttműködés a kapcsolódó szakterületekkel.
• Részvétel az informatikai stratégia kialakításában és a stratégiaalkotási folyamatokban.
• Technológiai információk és javaslatok biztosítása az üzleti döntések támogatására.

• 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

• Manage Invoice acceptance procedures
• Handle Invoice related questions, requests
• Own daily business communication and complaint resolution
• Work on and provide accurate monthly/ quarterly closing reports
• Create and follow up on Purchase Orders
• Oversee general reporting on assigned portfolio

• Az adatbázis- és adatfolyam-fejlesztésekhez tartozó üzleti igények elemzése, valamint a technikai koncepciótervek elkészítésének vezetése
• Az elkészült specifikációk alapján komplex adatmodellek tervezése, az üzleti szempontrendszer és logikák implementálása

• 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

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• Develop, update, and maintain HTML emails, responsive landing pages and microsites used in marketing campaigns.
• Collaborate with marketing automation specialists, designers, copywriters, campaign managers and field marketing managers to ensure digital assets meet brand and usability standards.

Own end-to-end design projects, delivering comprehensive solutions from user requirements and information architecture to task flows, wireframes, and high-fidelity, production-ready interfaces....

• Master data üzleti folyamatok elemzése, tervezése és optimalizálása az egyes üzletágakban,
• Megoldások implementálása és továbbfejlesztése, beleértve a testreszabási feladatokat,
• Rendszertesztek végrehajtása, valamint részvétel a hibák elemzésében és elhárításában,

• 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

Architecture design and software engineering of large-scale market data initiatives Integration and deployment of market data initiatives Development of secure, high performance, scalable and maintainable applications Coordination and collaboration with internal OneMSCI stakeholders Conversion of...

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...