Data állások XXIII. kerületben (it programozás, fejlesztés)

• 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

• 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

• 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

• 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

• 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.

• 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

• 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 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

• 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,

• Adat- és metaadat-platformok karbantartása, fejlesztése
• Korszerű adattechnológiai megoldások implementálása (pl. gépi olvashatóság, open data)
• Nagy értékű adatkészletek strukturálása és publikálása
• Nemzetközi trendek, szabványok adaptálása, innovációk beépítése

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....

• 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

• 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

• 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

• 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.

Building, maintaining, and optimizing the global BI and Analytics platform Designing, implementing, and supporting data artifacts in the database and data lake Developing, testing, and maintaining data extract, load, and transformation (ELT/ETL) pipelines and data flows Creating and enhancing data...