984 English-speaking jobs in Gdańsk

The consultant will support the implementation of a new Surveillance solution. Tasks include analyzing detection models, data requirements, and collaborating with technology teams on tuning and calibration.

Provides support to the Project Manager in daily activities, including task management, meeting facilitation, reporting, and handling escalations. Guides users in setting up accounts for the Recovery Tenant tool and delivers training for recovery systems.

IT Analyst will collaborate with business and technology teams to define, map, and document operational controls. The role involves reviewing and supporting improvements to the Business Continuity and Crisis Management (BCCM) testing framework and implementing operational controls.

Experienced Infoblox DNS/DHCP Expert consultant to migrate DHCP services from Microsoft to Infoblox NIOS and plan future DNS migration. Requires 5+ years of experience as a DNS Expert Engineer in enterprise infrastructure environments with strong knowledge of Infoblox NIOS and Microsoft Active Directory-integrated DNS.

Leads a team of engineers, ensuring project management, quality standards, and client satisfaction. Requires a degree in Engineering, 7+ years of experience, project management expertise, and Polish Building and Electrical Licenses.

Manages the overall NAV calculation process for hedge funds, ensuring timely and accurate delivery. Develops client relationships and manages teams of up to 20 employees. Reviews NAV calculations, workflows, and procedures. Handles client inquiries and escalations. Participates in fund accounting training and employee development. Requires a bachelor's degree, 9 years of experience in hedge fund administration, and strong communication and problem-solving skills.

Executes fund accounting tasks, including NAV calculations, cash and position reconciliations, and trade processing. Supervises a team of up to 7 staff and assists in their development. Reviews fund pricing, corporate actions, profit and loss reports, and compliance with HedgeServ procedures.

Senior Fund Accountant will execute fund accounting tasks including NAV production, reconciliations, trade processing, and client communication.

Supervises a team of Fund Accountants, ensuring timely and accurate delivery of NAV calculations. Reviews reconciliations, pricing, corporate actions, and financial reports. Provides guidance, training, and mentorship to team members.

Manages the NAV calculation process for hedge funds, ensuring accuracy and timeliness. Develops and improves NAV calculation workflows and procedures. Manages a team of up to 10 employees, resolving accounting inquiries and ensuring timely completion of fund audits. Requires a bachelor's degree in a related field and 6 years of experience in hedge fund administration.

Lead and motivate development teams, mentor junior developers, and manage code reviews. Develop and implement APIs, design microservices architectures, and manage data models and ETL processes. Experience with Azure, AWS, Google Cloud, Docker, and Kubernetes is required.

Designs, builds, and maintains data infrastructure for financial data management. Develops and maintains ETL processes to integrate data from various sources. Ensures data quality, security, and compliance. Collaborates with business owners, data analysts, and engineers.

The Global Reserving Platform team seeks a System Administrator to ensure stable IT operations and continuous improvement of financial data processing. Responsibilities include administering Windows Server environments, supporting TM1/Planning Analytics, managing MS SQL Server instances, and supporting API integrations.

DevOps Engineer will manage deployment automation of Azure PaaS/SaaS services within a Big Data & Analytics platform. Responsibilities include automation of configuration validation, platform stability, and end-to-end solution automations for the machine learning lifecycle.

The Java Software Engineer will analyze, design, develop, test, and debug software enhancements and solutions within Charles River’s business and technical problem domains. Responsibilities include collaborating with Business Analysts and Product Managers, providing troubleshooting assistance, and adhering to the CRD scrum methodology. The role requires 2-4 years of Java development experience, preferably in the FinTech area, and a B.S. degree in Computer Science, Engineering, or a related field.

Manages data analytics consulting projects, proposing solutions, gathering requirements, and supervising implementation. Collaborates with team members on client projects, developing data-driven solutions. Designs, develops, and implements management information products, analytical solutions, and raw data extraction processes. Provides insights on transforming raw data into visualizations to support management decisions. Leads the development of data tools for transformation, management, and access. Oversees the implementation of performance monitoring protocols in data pipelines. Supports the identification of data governance requirements and manages data accessibility.

Senior Data Engineer to design, develop, and maintain Big Data systems using technologies like Databricks, Airflow, Spark, and Azure. Responsibilities include developing data pipelines, collaborating on Machine Learning projects, and translating business requirements into technical solutions. Requires 5+ years of experience, strong Python skills, and knowledge of data governance and cloud environments.

Senior Data Engineer to work on automotive, aerospace, and telecommunications projects. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and optimizing data workflows using technologies such as Spark, Cloudera, Airflow, Iceberg, and AWS. Requires 5+ years of experience implementing Big Data systems, strong Python (or Java/Scala) skills, and experience with cloud environments.

Lead the development and implementation of Machine Learning solutions, ensuring alignment with project objectives. Design AI solution architectures, research and select tools and technologies, and understand client needs. Architect and oversee data pipelines and workflows, coordinate with Data Engineering and Software Engineering teams.

Lead the development and implementation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select AI solutions to meet business requirements. Lead and mentor cross-functional teams, translating business problems into data science problems. Present findings and recommendations to stakeholders.