Engineering állások Budapesten (programozó, fejlesztő)

Deliver complex data engineering projects individually or by leading small delivery teams Work with EMEA and US customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage...

Participation in the whole lifecycle of development projects from planning to handover Maintaining existing cross-platform apps Developing cutting-edge projects while writing high-quality code Keeping up with the latest technology trends Communicating well with other team members Handling...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Shape engineering strategy with broad organizational impact, influencing long-term architectural direction across multiple teams and products. Drive platform evolution, identifying common pain points and leading scalable, reusable solutions across systems. Engage in deep architectural discussions,...

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS consultancy to...

Assist the CG Supervisor/Creative Director and Art Director to fulfill their creative vision by producing quality character, set, and prop rigs and models, as well as scripting solutions. Work together with the Senior Asset Artist and with the CG Core Team to develop the aesthetics and pipeline for...

Lead and oversee the day-to-day operation of the Java backend team Continuously monitor overall project health by reviewing and improving development best practices and delivery processes across ongoing Java projects Take on line management responsibilities, supporting the team’s well-being, growth...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models). Implement various machine learning solutions addressing computer vision and NLP use cases. Work with Large Language Models (LLMs), perform prompt engineering tasks. Design and implement data...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform. Build automated AI testing and evaluation frameworks. Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities. Shape and...

Design, develop, and maintain scalable backend services using Node.js, JavaScript, and TypeScript. Build secure and performant RESTful APIs and microservices architecture. Contribute to system architecture discussions and lead technical decision-making. Apply Test-Driven Development (TDD) and...

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...