Adatanalitikus állások XVIII. kerületben (it programozás, fejlesztés)

• A Sales Igazgatóságot és a Sales Research csapatot támogatod üzleti döntések előkészítésében rövid‑ és középtávú elemzésekkel, adatalapú döntés‑előkészítéssel
• Elemzed az üzleti teljesítményt, feltárod a mögöttes okokat, és konkrét javaslatokat dolgozol ki a további lépésekre

• 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).

• részvétel az IT rendszerek továbbfejlesztési projektjeiben,
• kapcsolattartás a business analyst munkatársakkal és fejlesztőkkel,
• üzleti követelmények alapján IT rendszerspecifikációk készítése,
• a rendszerspecifikációk illesztése az IT architektúra követelményekhez,

• Az MVM Next informatikai és üzleti fejlesztési projektjeinek támogatása az üzleti elemzés és tesztmenedzsment terület vezetésével:
• Az üzleti elemzés és tesztmenedzsment csoport szakmai és operatív irányítása
• A csapat napi működésének szervezése, feladatok priorizálása és nyomon követése

• 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

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....

• Begleitung des gesamten Softwareentwicklungsprozesses – von der ersten Idee bis zum produktiven Einsatz
• Abstimmung und Analyse von fachlichen sowie technischen Anforderungen gemeinsam mit Kunden und internen Stakeholdern
• Priorisierung und Aufbereitung von Requirements für agile Entwicklungsteams

• Egyeztetsz az üzleti területekkel, feltérképezed a fejlesztési igényeket
• Megvizsgálod, hogy az elképzelések hogyan és milyen formában valósíthatók meg
• Kapcsolatot teremtesz az üzleti oldal és a fejlesztők között, hogy mindenki ugyanazt értse a célok alatt
• Elkészíted a szükséges specifikációkat

• 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

• taking part in large IT projects as a subject matter expert, depending on your previous experience (e.g. architecture design, IT system and IT landscape reviews, vendor selection, quality assurance)
• analyzing clients’ IT environments, applications, and architecture landscapes

Data Exploration, Profiling, Cleansing, and Preprocessing Design and Management of Workflows for Storing and Retrieving Vectorised Documents Application of Embedding Models for AI‑Driven Solutions Leveraging Modern AI and Machine‑Learning Techniques Including Large Language Models and Agent‑Based...

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 management of data lakes and Lakehouse...

Unifying application logic and data architecture into a coherent, scalable, and reliable system Standardizing data design and usage Establishing clear ownership of the data layer as a core platform asset Driving consistency across services, databases, and integrations Transforming backend and data...

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...

Quality control of acquired field data Mobile Laser Scanning trajectory processing Terrestrial and mobile laser scanning data post-processing Alignment and adjustment of different measurements Quality control of post-processed data Solving GIS related tasks of processing Camera adjustment Data...

Development of novel data extraction tools and workflows Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification Implementation...

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

Algorithm design and implementation for processing and analyzing sensor data from LiDAR, images, and satellite imagery Algorithm creation for transforming sensor data into actionable insights such as 3D model reconstruction, spatial data segmentation, and environmental feature detection Development...

Support Daily Data Production Workflows Across Multiple Asset Classes Including Fixed Income Curves, Futures, Derivatives, And Equity Analytics Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics Investigate Data Quality Issues Such As Pricing Discrepancies,...

Backend Services Development, Optimisation, and Maintenance Using Java (Spring Boot) Design Decisions Contribution for New and Existing Projects Application Deployment and Scaling in AWS (ECS, Lambda, S3, DynamoDB, etc.) System Observability Enhancement with Real-Time Monitoring and Logging Using...

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...