Senior engineer állások XI. kerületben (it programozás, fejlesztés)

• 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

• 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

• 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

• 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

• Translate client needs into technical solutions 
• Design data-driven systems using Databricks and Azure 
• Build ingestion and transformation pipelines using SQL, Python, dbt 
• Automate data workflows 
• Participate in sprint planning and deliver reliable solutions 

• Tapasztalat gépi látás vagy AI fejlesztésben
• Magabiztos C++ és/vagy Python tudás
• Analitikus gondolkodás és önálló problémamegoldás
• Innovatív szemlélet és csapatmunka
• Computer Vision / OpenCV
• Deep Learning / PyTorch
• 2D–3D képfeldolgozás
• CNN / Vision Transformer
• Robotika / ROS / ROS2
• C++ / Python

• 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).

• 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

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

• Learn QA/testing principles
• Design and implement automation end to end tests
• Work with Playwright or similar testing frameworks
• Learn large scale, cloud native software architectures
• Work in agile development methodology
• Gain experience working at a fast-growing, truly colourful company

• Learn devops principles
• Design and implement CI/CD pipelines
• Work with Ansible, Docker and Kubernetes and various PaaS solutions
• Study large scale, cloud native software architectures
• Gain experience working in agile DevOps methodology
• Gain experience working at a fast-growing, truly colourful company

• 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

• Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation
• Define and own API strategy, governance frameworks, and integration patterns at organisational level

Designing, developing, and improving ball and player tracking algorithms using multi-camera systems Owning and evolving multi-view geometry solutions for accurate, court-wide tracking Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios...

Integration of IPs and development of logic for subsystems Understanding and reviewing subsystem architecture Development of microarchitecture specifications Review of verification test plans Debugging and fixing issues Collaboration with performance analysis team to evaluate and improve system...

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Collaboration with cross-functional teams to design and implement components for systems and tooling platforms Work on hardware interfacing and network protocols Audio/video processing and UI development Building efficient, robust multithreaded C++ applications Field testing and support of...

Design and build an automation test framework integrated into CI/CD pipelines and the SDLC Implement automated tests across API, integration, and end-to-end layers Write high-quality, maintainable test code with focus on reusability, stability, and execution speed Embed testing into the development...

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...

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...