68 English-speaking jobs in Gdynia

Lead and transform the global spare parts business, managing end-to-end operations from customer inquiries to fulfillment. Build a high-performing team, drive operational excellence, and contribute to revenue growth through customer engagement and aftermarket sales.

Pricing and Quoting Specialist for Ocean freight. Manages pricing processes, collaborates on RFQ responses, and supports bid optimization. Requires a university degree, 2+ years of pricing experience in forwarding, advanced Excel skills, and fluency in English.

DNV seeks an Oracle HCM Cloud Solution Architect to design and maintain HR application architecture, ensuring alignment across Oracle Fusion HCM and other platforms. The role involves translating business needs into technical solutions, contributing to the HR applications roadmap, and collaborating with HR leaders, IT teams, and enterprise architects.

Support/Senior IT Analyst for Software Lifecycle. Maintains and develops software lifecycle experience for service areas. Investigates and supports understanding of software obsolescence and mitigation. Participates in software lifecycle audits. Requires strong Software Asset Lifecycle Management skills, understanding of software lifecycle activities, and excellent communication and collaboration skills.

Senior Power Platform Developer to architect complex Canvas apps, design cloud flows, and implement client-side logic. Requires advanced expertise in Power Apps, Power Automate, Dataverse, and SQL/T-SQL.

Validate and review client data for compliance with international CO₂ reporting regulations (IMO DCS, EU MRV, ETS). Analyze technical documentation and monitor vessel activity to verify emissions data. Collaborate with global teams and ship owners. Support digitalization initiatives for verification tools and customer documentation. Provide guidance to customers on processes and systems.

The Oracle Technical Analyst supports the Invoice and Cash team within the Finance Applications unit. Responsibilities include maintaining Finance Applications solutions, collaborating with team members to resolve customer issues, and working with stakeholders to discuss and align on solutions. The role requires 7+ years of hands-on Oracle eBusiness Suite technical experience, including complex integrations, WebADI, Oracle APEX Development, and XML-based formats. Strong understanding of Oracle Financials Modules, SQL & PL/SQL, and finance reporting and business processes is also required.

Senior Cloud Database Engineer to support SQL Server database operations in hybrid environments. Experience with cloud deployments (Google Cloud preferred), migrations, and performance tuning required.

Electrical Engineer to design Overhead Lines up to 420 kV. Responsibilities include preparing specifications, calculations, and designs, as well as collaborating with clients and suppliers. Requires a PhD or M.Sc. in electrical engineering and expert knowledge of Overhead Lines.

Senior DevOps Engineer to develop, monitor, and improve Development Engineering services in a worldwide team. Requires experience with Docker, Kubernetes, Azure/AWS, CI/CD, and infrastructure as code.

Senior Test Data Specialist with 5+ years experience analyzing source systems and implementing data masking solutions. Expertise in Delphix masking software or similar tools, SQL, and relational databases required. Excellent English communication skills essential.

Technical Consultant/Senior Technical Consultant to support software release activities within Client Lifecycle Management (CLM). Collaborate with internal teams and clients to gather requirements, translate business needs into functional specifications, and participate in end-to-end software lifecycle activities. Strong understanding of SDLC, JavaScript, SQL, and experience working with BRDs and FSDs required. Excellent English communication skills essential.

Senior Power Platform Developer to architect complex Canvas apps, design cloud flows, and implement client-side logic. Requires advanced expertise in Power Apps, Power Automate, Dataverse, and SQL/T-SQL.

Senior Mainframe Specialist with 6+ years of experience in IBM z/OS environments. Expertise in Endevor configuration and administration, cross-platform communication, and Mainframe Unix System Services (USS). Strong analytical and problem-solving skills. Fluency in English required.

Senior Software Development Engineer in Test with 5+ years of Python and database experience. Expertise in Robot Framework, Jenkins, and CI/CD tools. Strong analytical and problem-solving skills. Experience with test management tools like qTest or Zephyr.

Expert Services Engineer will introduce new Access & Aggregation products, educate Services teams, and coordinate customer demos. Requires 10+ years telecoms experience, Adtran Access & Aggregation knowledge, and fluency in English.

Senior DevOps Engineer will design and build multi-tenant architecture in Microsoft Azure, develop and maintain CI/CD pipelines, and deliver cloud and infrastructure capabilities. Responsibilities include troubleshooting platform issues, ensuring system performance and security, and automating infrastructure provisioning. Requires hands-on experience with infrastructure, networking, platform engineering, and automation tools such as Terraform, Git, and Kubernetes. Experience with market data platforms is advantageous.

Data Engineer to build and modernize data services using Azure technologies. Requires 3+ years of experience with Data Lake, Data Factory, and ETL (Python or Java). Experience with AirFlow, Durable Functions, and Azure is a plus. Excellent English required, German is beneficial.

Leads a high-performing engineering team delivering a strategic application for the LSEG Workspace platform. Drives all phases of the development lifecycle, collaborates cross-functionally, and mentors team members. Requires strong front-end development skills (JavaScript, TypeScript), full-stack experience (Node.js), and experience managing complex projects in an Agile environment.

Data Scientist will define and implement a data management framework for financial analytics, including data acquisition, cleaning, and transformations. Responsibilities include collaborating with analytics teams, developing data pipelines, and building machine learning models to solve business problems. Requires expertise in data science, Python, SQL, and cloud computing.