Oferty dla Problems praca Białystok

14.01.2026 | Pełny etat | Białystok | Sii Sp. z o.o.Software Ability to decompose complex problems into clear, technical solutions Strong teamwork and communication skills across cross-functional teams Fluency in English, both spoken and written Fluent Polish required Residing in Poland required What we offer Great Place to Work since 2015 - it’s thanks

14.01.2026 | Pełny etat | Białystok | Sii Sp. z o.o.At scale. If you enjoy transforming challenging problems into practical AI-driven solutions and thrive in a collaborative, international environment, we would love to hear from you. Apply now and shape the future of visual data analysis with us! Your responsibilities Develop and implement classical

01.01.2026 | Pełny etat | Białystok | Sollers ConsultingCollaborating with English native speakers (at least C1 level). Very good knowledge of German (at least B2/C1 level). Understanding agile ways of working. Proven ability to apply both intuitive and analytical reasoning to approach complex problems. To be able to work in Poland and the European Union on a full

01.01.2026 | Pełny etat | Białystok | ADDEPTOAnd select the best tools and technologies as well as AI solutions to meet the business requirements. Understand clients’ needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security

01.01.2026 | Pełny etat | Białystok | TRANSITION TECHNOLOGIES PSC S.ASolutions, including in situations requiring rapid response. Diagnose and resolve complex technical problems, including critical issues under time pressure. Share knowledge and best practices within an experienced team, fostering a culture of continuous improvement. Stay current with emerging technologies

01.01.2026 | Pełny etat | Białystok | ADDEPTOAnd select the best tools and technologies as well as AI solutions to meet the business requirements. Understand clients’ needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security