6577 English-speaking jobs in Masovian Voivodeship

Lead technical initiatives in AI/LLM/GenAI, designing and building scalable solutions. Translate business problems into AI solutions, mentor junior engineers, and collaborate with cross-functional teams.

Design and implement scalable cloud-based data warehousing and analytics solutions using Azure Data Lake, Azure Databricks, Microsoft Fabric, and related services. Define best practices for data governance, security, performance optimization, and cost efficiency in Azure and Databricks environments. Collaborate with cross-functional teams to deliver end-to-end data platform solutions. Integrate Databricks with the broader Azure ecosystem. Advise clients on modernization strategies, including migration from legacy databases to Azure and Databricks-based architectures. Support pre-sales and solutioning activities. Stay up to date with innovations in Azure, Databricks, and Fabric.

Design, implement, and deploy SAP solutions to achieve business goals. Drive industry innovation by delivering SAP S/4HANA solutions. Minimum 5 years of experience in relevant related skills. Advanced proficiency in SAP BW/4HANA Data Modeling & Development. Very good command of English.

As a Data Modeler/Designer, you will design and implement scalable, efficient, and secure data solutions. You will collaborate with stakeholders to build data architecture strategies and work with data engineers, data scientists, and IT teams to define robust data models. You will evaluate and recommend technologies for data storage, processing, and analysis.

Lead the technical design and development of a modern SaaS platform for energy markets. Responsibilities include architecture design, API development, security assessments, and code reviews. Requires advanced Java skills, experience with containerization and CI/CD, and strong communication.

Data Privacy Manager needed for a global cybersecurity consulting practice. Support organizations in building, improving, and operating data privacy and protection capabilities. Minimum 4 years of experience in Data Privacy, Data Protection, and GDPR-related roles required.

Define and implement end-to-end test strategies for large-scale logistics integration programs. Lead and manage cross-functional test teams across multiple projects and geographies. Oversee validation of integrations between multiple TMS platforms and lead testing for customer migrations.

Apply cloud and data engineering skills to solve problems and design approaches for clients. Propose, build, and implement big data engineering solutions. Design and develop scalable data pipelines to ingest, process, and transform large datasets.

Leads end-to-end Salesforce CRM transformation, assessing current setup, identifying gaps, and defining a roadmap aligned with business objectives. Manages a team of 40+ CRM contributors, ensuring governance and alignment between business and technical teams. Requires 8+ years of experience in CRM, enterprise systems, or large-scale digital transformation.

Manages IT program delivery, including RAID log, dependency mapping, and milestone tracking. Facilitates Agile governance and provides executive reporting. Requires 3 years of experience in IT program management on Salesforce or enterprise platforms.

Business Process Owner for Sales will define user stories, validate agent behavior, and map sales processes. Requires 5 years of Sales operations or BizOps experience, Salesforce CRM expertise, and pipeline management knowledge.

Develop Salesforce Agentforce configurations, Einstein Copilot customizations, and custom components for Sales and Finance workflows.

Lead the operational setup and optimization of Agile Tribes, facilitating ceremonies and designing scalable delivery models. Translate stakeholder goals into actionable backlogs, manage dependencies, and support Product Owners in backlog refinement. Proactively identify and clear bottlenecks in a complex technical environment. Evangelize Agile and DevOps values, implement data-driven metrics, and provide transparent progress reporting.

Senior DevOps Engineer will design, build, and manage scalable infrastructure, own end-to-end delivery of infrastructure, CI/CD pipelines, and internal tooling, and drive improvements in developer experience.

Design and develop GenAI-powered solutions for business processes and decision-making. Collaborate with stakeholders to identify use cases and translate them into scalable solutions. Build and integrate applications leveraging LLMs with cloud AI services. Work with structured and unstructured data, preparing and optimizing pipelines for GenAI use cases. Contribute to both solution design and implementation, ensuring solutions are scalable, secure, and maintainable.

Senior Data Scientist will leverage machine learning and cloud technologies to improve client businesses. Responsibilities include applying data-driven approaches to business scenarios, creating and using advanced analytics and ML algorithms, and collaborating in interdisciplinary teams. Requires a minimum Bachelor's degree in a relevant field and 4 years of experience in applying data-driven approaches. Proficiency in at least one programming and query language (Python, PySpark, SQL) and understanding of various Data Science, Machine Learning concepts and algorithms is necessary. Fluent English is required.

Leads and develops product areas, defining product vision and development direction. Partners with stakeholders, translating business problems into product initiatives. Guides the team in designing, delivering, and maintaining scalable product solutions, especially in logistics and international deliveries. Manages project execution, ensuring sound product decisions and efficient resource utilization.

Senior Service Designer needed to improve the subscription lifecycle experience across a global e-commerce platform. Focus on UX research, discovery, service design, and UI design to enhance customer journeys and support product delivery. Requires expertise in service blueprints, customer journey maps, and Figma. Strong collaboration and communication skills are essential.

Senior Java Full Stack Engineer to design, develop, and deploy innovative applications using Java, Spring, and React. Full development lifecycle ownership, including architecture, DevOps, and TDD/BDD. Experience with microservices, cloud/hybrid solutions, and containerized applications required.

Experienced Backend Engineer to design and build event-driven solutions using Kafka and related technologies. Focus on stream processing applications, data pipelines, and ELK stack monitoring solutions. Requires 4+ years of experience building Kafka-based applications, Java, Spring, and ELK stack.