Python developer állások III. kerületben (it programozás, fejlesztés)

• 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

• 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.

• 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

Mi lesz a feladatod? A Tesztmérnök fő feladata figyelemmel kísérni a szoftverfejlesztési folyamat minden szakaszát, ügyelve arra, hogy a szoftver megfeleljen a Graphisoft által meghatározott minőségi elvárásoknak. •4-6 fős csapat tagjaként részvétel a tesztelési feladatok végrehajtásában szoros...

• ETL folyamatok tervezése, fejlesztése, optimalizálása
• Adatáramlási rendszerek üzemeltetése és finomhangolása
• Skálázható adattárházak és adatpiacok kialakítása
• Logikai és fizikai adatmodellek létrehozása
• Sémadefiníciók karbantartása, fejlesztése
• Interaktív műszerfalak és riportok készítése

• 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 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

• 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.

• 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.

• 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

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Writing reusable, testable, and efficient code mainly in Python Mastering the integration of user-facing elements developed by front-end developers with server side logic Integration of data storage solutions Handling security and data protection professionally and precisely Collaborative work to...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by the development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Platform development supporting financial engineers and researchers Technical design and code review sessions facilitation Building widely used and reliable fundamental components as Python libraries Building high quality software improving user experience for modellers and developers Staying...

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...

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

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 Assist With Investigating Data Quality Issues Such As Pricing...