Oferty dla Analysis Technology praca Białystok

01.08.2025 | Pełny etat | Białystok | AddeptoLead Data Engineer Miejsce pracy Białystok Technologies we use Expected Spark AWS Python Optional Java Scala Cloudera Airflow NiFi Docker Kubernetes Iceberg Trino Hudi About the project As a Lead Data Engineer, you will have the exciting opportunity to work with a team of technology experts

01.08.2025 | Pełny etat | Białystok | Sii Sp. z o.o.To ensure they are secure, high-performing, scalable, and tailored to support our advanced logistics applications. You will work at the forefront of logistics technology, managing cloud infrastructure that powers critical applications and large-scale data systems used for analytics, planning, and real-time

01.08.2025 | Pełny etat | Białystok | Grape Up Sp. z o.o.Integrated Management System Coordinator Miejsce pracy Białystok Technologies we use Operating system Windows macOS About the project Grape Up is a technology consulting and software development company, helping enterprises build their mission-critical products. The company maintains an Integrated

31.07.2025 | Pełny etat | Białystok | SemrushDisciplines-from load and performance to accessibility and security-augmented by AI/LLM-driven practices. You’ll lead and mentor a QA team, architect robust testing strategies spanning functional and non-functional realms, and pioneer AI-powered test generation, defect analysis, and monitoring workflows

31.07.2025 | Pełny etat | Białystok | Grape UpAt Grape Up our mission is leveraging technology to drive software innovation. Join an ambitious initiative aimed at modernizing selected modules of an airport management software suite. As a Senior Business Analyst, you will work closely with the client’s Product Owner and various stakeholders

31.07.2025 | Pełny etat | Białystok | SiiInfrastructure Our requirements Minimum 5 years of experience in machine learning, data modelling, and statistical analysis Proficient in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch Experience with cloud-based ML development, preferably AWS Familiarity with Docker, Kubernetes, and CI/CD