6772 English-speaking jobs in Masovian Voivodeship

Senior Data Scientist to design, develop, and deploy production machine learning models with real-time constraints. Responsibilities include building recommendation systems, conducting A/B testing, and collaborating with business stakeholders. Requires 7+ years of commercial data science experience with a strong production ML focus.

The Student Coordinator will support students throughout their learning journey, from onboarding to employment. Responsibilities include managing student communication, gathering feedback, assisting with job preparation, and supporting course processes.

Commercial Data Analyst will build dashboards and reports to evaluate sales, CRM, and contact center performance. Analyze commercial funnels, unit economics, and retention to identify growth opportunities. Translate business questions into analytical tasks and insights. Collaborate with stakeholders to deliver accurate data within tight timelines. Requires 4+ years of analytics experience, advanced SQL skills, and experience with BI tools.

Experienced Data Center market expert needed to drive business development for Digital Infrastructure and Mission Critical Power solutions. Focus on strategic sales for comprehensive Data Centre Facility (DCF) solutions, including critical power systems, energy architecture, and energy efficiency solutions.

The Principal Quality Manager ensures consistent, compliant, and inspection-ready execution of quality activities across projects, vendors, and systems. Leads complex investigations, audits, and inspection readiness activities. Acts as a subject matter expert for QMS elements and supports continuous improvement initiatives.

The Medical Informatics Analyst develops clinical trial strategies, analyzes data, and contributes to proposal development. Requires a clinical, biological, scientific, or health-related undergraduate degree and postgraduate degree preferred. Strong data analysis skills and fluency in English are essential.

Senior DevOps Automation Engineer will analyze customer requirements, design CI/CD pipelines, and automate deployments of virtualized solutions. Requires 7+ years of experience with CI/CD systems, Kubernetes, IaC tools (Terraform, Ansible), observability tools (Prometheus, Grafana, OpenTelemetry), AWS Platform services (EKS), Linux, Docker, and Git.

Senior Firewall Engineer with 7+ years of experience in network security and firewall configuration from vendors like Cisco, Check Point, Palo Alto, or Fortinet. Responsibilities include firewall configuration migration, network analysis, and collaborating with development teams. Must have Python scripting skills, production deployment experience, and fluency in English.

Develop software primarily using C/C++ for network products and operating systems. Experience in Linux device driver programming, virtualization, and containerization is required.

Lead a cybersecurity project for a global leader, managing a team of network, DevOps, and software engineers. Responsibilities include project delivery, stakeholder alignment, roadmap discussions, and team management. Requires 3+ years experience as an Engineering Manager, technical background in cybersecurity, and strong communication skills.

Develop and maintain firewall migration automation software. Analyze and troubleshoot software issues. Contribute to AI-powered software development. Collaborate with teams on developing and improving automation tools.

Experienced DevOps Engineer needed for remote role. Expertise in Docker, Kubernetes, AWS, Azure, GCP, Terraform, GitHub, Datadog, and CircleCI required. Strong scripting skills in Bash and Python and a passion for automation are essential. Minimum 4 years of relevant experience.

As an ML Platform / MLOps Engineer, you will design, build, and operate the infrastructure, tooling, and pipelines for reliable machine learning at scale. You will implement and operate model serving infrastructure, build and maintain training and experimentation infrastructure, and implement observability for ML systems. You will also build and maintain data pipelines, design and maintain a feature store, and contribute to documentation and continuous improvement of ML engineering processes.

Designs, builds, and operates scalable data pipelines and data infrastructure. Ensures high-quality data is accessible, trusted, and ready for analytics and data science. Collaborates with analysts and data scientists to deliver curated, analysis-ready datasets.

Senior .NET Engineer with 5+ years of experience in cloud-native development and hands-on experience integrating OpenAI services into business applications.

Experienced Shopify Developer needed to design and document technical architectures for Shopify (primarily Shopify Plus) stores. Responsibilities include storefront development, app integration, optimization, and system integrations. Requires 5+ years of e-commerce experience, including 3+ years with Shopify, expertise in headless commerce, and strong technical skills in Shopify APIs, web technologies, and integrations.

Lead a team of React developers in building scalable web applications. Responsibilities include mentoring, sprint planning, and architecting user interfaces using React, Hooks, and Redux. Requires 5+ years of JavaScript/TypeScript experience with 3+ years in React.js.

Data Engineer to design, build, and maintain cloud-native ETL infrastructure and data pipelines. Responsibilities include developing Python-based ETL pipelines, optimizing data warehouse structures, and ensuring data quality. Requires 5+ years of experience designing and building enterprise-scale ETL pipelines, strong Python skills, and proficiency in SQL.

DevOps Engineer to design, implement, and maintain AWS infrastructure. Responsibilities include managing AWS resources, implementing CI/CD pipelines, and ensuring system security and reliability. Requires expertise in Terraform, CI/CD, containerization, and scripting.

Lead the architecture, development, and deployment of advanced AI and machine learning solutions. Design and implement AI/ML architectures (LLMs + traditional ML models) and build scalable AI solutions. Provide technical leadership and mentorship to engineering teams.