257 English-speaking jobs in Podlaskie Voivodeship

At Grape Up, we combine consulting expertise with cutting‑edge engineering to help global enterprises build their most critical applications using cloud‑native technologies and modern software delivery practices. Right now, we’re teaming up with a top U. S. insurance company to shape the future of their analytics and pricing platforms.

Data Scientist to design, deploy, and maintain scalable machine learning models for forecasting, optimization, and product performance analysis. Collaborate with stakeholders to translate business needs into data-driven solutions.

Senior Software Engineer to lead a team, design, develop, and launch backend systems at scale. Experience with Python or Kotlin, AWS, MySQL, and Kubernetes required. Proven ability to mentor junior engineers and drive project delivery.

Design Engineer / Business Analyst needed for projects developing and implementing design methodologies, including MBD. Experience with Creo Parametric, SOLIDWORKS, and PLM systems required.

As a Staff Data Scientist within Conversions, you will shape the data and modeling strategy behind customized user journeys and funnel decisioning. You will design, implement, and evaluate machine learning approaches for large-scale personalization and routing decisions.

Senior AI Engineer will lead XTB's LLMOps and Agentic strategy, ensuring secure and reliable AI experiences for over 1 million investors. Responsibilities include architecting AI solutions, establishing LLMOps standards, and collaborating with data and product teams. Requires 5+ years of experience in deploying production-grade AI/ML solutions, expertise in LLM orchestration and data frameworks, and proficiency in building APIs and semantic layers.

Develop and maintain scalable, high-performance backend services for trading and crypto-focused applications. Optimize performance across JVM, databases, caching, and networking. Implement secure key management and transaction workflows. Integrate with blockchain nodes, custody providers, and staking protocols.

Senior Software Engineer / Architect will design software architecture, ensure code quality and compliance, and manage software work packages. Responsibilities include creating documentation, integrating AI/ML models, and collaborating with cross-functional teams. Requires a Bachelor's or Master's degree in computer science and 5+ years of experience with Java 17+, Spring Boot, JUnit, Flyway, and Python.

Technical Support Engineer will diagnose and resolve complex technical issues across multiple programming languages and environments. Collaborate with engineering and product teams to ensure efficient issue resolution and improve product quality. Must have 2+ years of experience in customer-facing technical roles, fluency in English, and strong knowledge of Java, Atlassian SDK, and build pipelines.

Data Scientist / ML Engineer will design, implement, and validate Machine Learning solutions. Responsibilities include understanding client needs, translating business problems into data science problems, and developing scalable AI solution architectures. Requires 3+ years of experience designing and implementing scalable AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments (AWS or Azure).

Manage localization projects end-to-end in an Agile environment, ensuring high-quality, on-time delivery of Product and Marketing content. Identify opportunities to streamline workflows, collaborate with stakeholders, and monitor industry trends.

Senior Business Analyst to develop and maintain solutions within the Atlassian Jira environment. Responsibilities include analyzing processes, designing configurations, supporting PMO, and creating reports. Requires 3+ years of experience as a business or system analyst and 2+ years with Atlassian tools (Jira, Confluence, BigPicture).

Develop and integrate Python-based AI solutions for international clients, focusing on LLMs, agentic architectures, and data-centric engineering.

Design, build, and maintain scalable infrastructure for performance testing in cloud environments (AWS, Docker, Kubernetes). Automate deployments and integrate testing processes into CI/CD pipelines (GitLab CI/CD). Build, configure, and maintain monitoring and observability solutions (Prometheus, Grafana, InfluxDB). Support performance engineers by enabling the execution of performance tests (Locust, Gatling, K6) and providing the necessary infrastructure.

ServiceNow Architect needed to ensure the architecture and security of the ServiceNow platform, focusing on the Strategic Portfolio Management module. Lead technical direction, develop reusable components, and collaborate with business units to design and maintain scalable solutions.

Design, develop, and maintain scalable finance-focused backend solutions using Python. Integrate external systems and third-party APIs. Work closely with Product Managers and Tech Leads to define, size, and solve real-world telecom customer problems. Lead and mentor the engineering team. Write high-quality, well-tested code ensuring reliable daily deployments to production. Participate in peer reviews, refinements, and continuous feedback loops across a multi-disciplinary team. Maintain a developer-first quality culture: own unit, integration, and functional testing. Be part of a weekly engineering goal-setting process.

Build AI-powered infrastructure for VC and PE clients, including agentic AI systems, full-stack applications, and data platform engineering. Translate business needs into technical solutions and own delivery end-to-end. Must have experience shipping production AI/LLM systems and proficiency in an AI-native coding workflow.

Manager Data Analytics (L3) for a leading Global Fintech Group. 5+ years experience in Data Analytics, BI, or related field. Sector expertise in FinTech, Banking, or Financial Services required.

Senior Integration Engineer will design and build high-performance integration platforms using modern programming languages. Responsibilities include designing and developing microservices, integrating industrial systems with enterprise IT, and taking ownership of projects from design to production support. Requires 5+ years of software development experience, strong Java skills, and experience with messaging, APIs, and cloud platforms.

Data Engineer (Snowflake + Power BI) will design, build, and maintain scalable data pipelines in Snowflake. Responsibilities include developing dashboards, data models, and reports in Power BI, integrating data from various sources, and ensuring data quality and reliability. Requires 4-7 years of experience in data engineering, BI development, or analytics engineering with strong Snowflake, SQL, Python, and ETL/ELT tool experience.