Oferty dla Processing praca Białystok

13.03.2026 | Pełny etat | Białystok | Sii Sp. z o.o.Development team working on large‑scale payment processing solutions. The role involves contributing to a long‑term initiative aimed at enhancing payment flows and supporting key business requirements through modern, service‑oriented architecture. Your responsibilities - Designing and developing backend

13.03.2026 | Pełny etat | Białystok | Sii Sp. z o.o.Treasury operations such as cash positioning, bank interfaces, and payment processing - Participate in system upgrades, testing, and user training for treasury functionalities - Ensure compliance with corporate policies, SOX controls, and healthcare industry regulations Our requirements - Minimum 5 years

10.03.2026 | Pełny etat | Białystok | Sii Sp. z o.o.Mobile applications, wearables, sensors, data lakes, processing pipelines and analytics platforms supporting global clinical programs and generating terabytes of data. As a Technical Business Analyst, you will help translate business needs into scalable, cloud‑based solutions supporting the future

02.03.2026 | Pełny etat | Białystok | Sii Sp. z o.o.Compilation flows to enable efficient packet-processing pipelines on custom switching hardware. By joining us, you become a member of the Embedded Competence Center at Sii is an internal organizational unit, bringing together more than 500 specialists nationwide! We are currently working on about 100 projects

23.02.2026 | Pełny etat | Białystok | Sii Sp. z o.o.Data & Analytics Competence Center - a specialized unit bringing together top experts in data engineering, data processing, analytics, and cloud technologies. This role is dedicated to implementation projects based on Microsoft Fabric, where you will play a key part in designing and building modern

18.02.2026 | Pełny etat | Białystok | Sollers Consultingprocessing pipelines. - Identify potential improvements and enhancements for current data processing solutions. - Advise on the utilization of appropriate tools and technologies. - Research new tools and solutions and advise on their use. - Recommend potential enhancements to the existing data architecture