1120 English-speaking jobs in Gdańsk

- Strong experience with GCP technology, gained either: - directly at GCP or - within a consulting or system integration company delivering GCP projects - Proven background in business development, technology sales, or partner development - Ability to translate GCP capabilities into concrete business value and project opportunities - Solid understanding of projects delivered by engineering teams (

Good communication skills and attention to detail. Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.

3–7 years of experience as a Software Engineer (mid-level profile) Hands-on experience with Go (Golang) in real-world projects Hands-on experience with Vue.

Minimum 5 years of experience in Java software development Minimum 2 years of experience in front-end development Hands-on experience with Java, Spring Boot, REST APIs, Kafka, MQ, SQL, Docker, and Kubernetes Experience with microservices architecture and distributed systems Practical knowledge of clean code, continuous integration, and event-driven architecture patterns Experience in building scal

Your profile Around 2 years of experience in RPA development using Ui Path. Ability to design new automations and enhance existing ones across all development phases. Knowledge of relational databases and network communication standards (e. g. , JMS, SOAP, XML, XSD). Experience with tools such as GIT, JIRA, Service Now and working within SCRUM/Agile frameworks.

4+ years of experience in Dev Ops, Cloud Engineering, or Infrastructure Automation. Strong hands-on experience with Microsoft Azure, Terraform, and Azure Bicep. Advanced Power Shell scripting skills. Experience administering Windows Server, IIS, and Microsoft SQL Server. Experience with CI/CD platforms such as Azure Dev Ops, Git Hub Actions, or similar.

Minimum 7 years of experience in Data Engineering Strong background in designing and implementing scalable data processing systems (pipelines, ETL processes, data warehouses, and data lakes) Hands-on experience with implementing data warehousing solutions like Snowflake, Databricks or Apache Iceberg Strong background and at least 3 years of hands on experience in either AWS or Azure data engineeri

Bachelor's degree in Computer Science, a related field, or equivalent experience. 4+ years of automation engineering with Selenium Web Driver / Playwright using C#/. NET and x Unit frameworks. Experience testing web applications (. NET Core, microservices, Angular JS), cross-browser and cross-device, writing and executing both automated and manual test scripts.

Strong experience in Software Asset Lifecycle Management Understanding of software lifecycle activities Self-driven attitude with strong "can-do" mindset Strong communication and social skills with teams, stakeholders and application owners Good technical knowledge of software and hardware Knowledge of architecture, software processes and governance Experience with tools such as Flexera One or sim

Experience & skills: Minimum 2 years of commercial experience in Data Engineering, Analytics, Business Intelligence, or Data Platform development Experience designing and delivering data and analytics solutions using Microsoft technologies Good knowledge of SQL and relational databases (Azure SQL, SQL Server) Experience with Microsoft Fabric or strong experience with Azure Data & Analytics service

4+ years of experience in manual testing – frontend and backend Experience with tools like JIRA , Confluence , Postman and SQL Strong attention to detail and good communication skills Fluency in English – essential for daily communication in a multinational team General familiarity with Guidewire platforms (Claim Center, Billing Center or Policy Center) is a must!

What we're looking for Excellent C++ and Python programming skills, with strong scripting ability Understanding of processor architectures and Linux profiling Proven technical leadership, including mentoring, design review and influencing engineering direction Ability to balance hands-on implementation with broader technical ownership Strong grasp of performance engineering, including vectorisatio

5+ years of experience in Data Engineering and Data Warehousing within large-scale enterprise environments Proven ability to design scalable, maintainable, and modern data warehouse solutions Hands-on experience with Snowflake, dbt, Airflow Solid understanding of modern data engineering practices, CI/CD pipelines, and orchestration frameworks Experience taking full ownership from requirements anal

Fluent English Readiness to work in a schedule aligned with the opening hours of our shops (working in shifts, including a shift on Saturday once a month) Previous experience in IT support or service desk roles Basic knowledge of Windows operating systems and Office 365 Understanding of IT security and basic troubleshooting skills Interest in cloud solutions and IT infrastructure Good communicatio

Strong commercial experience with Scala Excellent knowledge of Akka Actors Good understanding of Akka Cluster and Cluster Sharding Experience designing distributed systems Experience writing performance and benchmark tests Strong understanding of concurrency and asynchronous programming Ability to design highly optimized, low-latency solutions Strong analytical and problem-solving skills For our c

Bachelor's or Master's degree in Business Informatics, IT, Marketing, Sales, or a related field Professional experience in a B2 B environment within international organizations Strong communication skills in English and the ability to engage effectively with diverse stakeholders A proactive and engaged mindset with a passion for delivering high-quality solutions Your skills & experience Strong exp

Requirements : At least 5 years of experience in Data Science, including production-level model deployment. Proficiency in Python programming (Tensofrlow, Py Torch, Scikit-Learn) and advanced SQL skills. Experience with large-scale data processing and ML models. Proven track record with complex predictive modeling, recommendation systems, and optimization techniques.

5+ years of experience in testing complex web, mobile, and API-based applications 2+ years of experience acting as a sole QA leading a project, with the ability to build a testing strategy from a blank slate A "nose for bugs" and the manual testing skills to break an app in ways a script might miss.

Must-have knowledge and experience: Must have an analytical mindset, be self-driven, ability to fix problems by writing scripts Expertise in scripting (preferably shell scripting: BASH) Solid Experience with Docker and Kubernetes technologies (MKE) Solid grasp of Dev Ops/CICD principles Solid experience in Linux administration Basic experience with CICD tools such as: version control systems (GIT,

About Air Space Intelligence: ASI started with a simple vision - build the Google Maps for the skies. Our mission-critical technology now powers decision-making across major airlines, the U. S. Department of Defense, and other critical infrastructure domains.