backend developer English-speaking jobs in Świdnica

Senior Data Engineer will design and implement data systems for a Fortune 500 client in finance, loans, investments, and real estate. Responsibilities include building data platforms, data pipelines, and leveraging Gen AI applications. Requires 5+ years of experience, expertise in Python, SQL, Snowflake, AWS, and excellent communication skills.

The Data Governance Manager for Finance, Sustainability & Global Business Services defines, implements, and governs enterprise-wide data governance capabilities. This role ensures data assets are consistently defined, governed, protected, and fit-for-purpose to support regulatory compliance, reporting, audit readiness, and decision-making. The Data Governance Manager partners with various functions to embed data governance standards, processes, and behaviors across the organization.

Executes Medical Affairs strategy, drives clinical practice transformation, and fosters scientific exchange for IntelliSep, a sepsis detection assay. Provides training, supports clinical adoption, and builds relationships with healthcare professionals. Serves as a subject matter expert, collaborating with internal teams and monitoring competitive intelligence. Requires a minimum Bachelor's degree and 15+ years of combined clinical and MSL experience.

Fullstack Developer will contribute to the development and maintenance of web applications using React and .NET. Responsibilities include implementing RESTful APIs, optimizing applications, and collaborating with teams to deliver features. Requires 2+ years of experience with React and .NET, proficiency in JavaScript (ES6+), and experience with source control systems.

Designs and develops modern data architecture, collaborates with business stakeholders, and supports technical teams in solution implementation. Requires experience in data integration, processing, and technologies like Snowflake, Qlik Sense, Kafka, and Flink.

Senior Analyst will research, evaluate, and experiment with emerging technologies in AI, data, and process automation. Collaborate with teams to translate business requirements into automation and AI solution designs. Develop and maintain prompt libraries and prototypes using platforms such as Microsoft Power Platform, Copilot, and low-code tools. Conduct process assessments and root-cause analyses to identify automation opportunities.

Provides operational and system support to Supply Planning, Line Scheduling, and Material Planning teams. Runs and monitors planning cycles in Blue Yonder and SAP S/4, validates results, and supports troubleshooting. Maintains master data and executes scenario simulations. Requires experience in Supply Planning, Line Scheduling, or Material Planning with Blue Yonder ESP and SAP S/4.

SME will support the delivery and operation of cybersecurity strategy, ensuring compliance with HSBC Information Security policies and standards. Requires experience in data security, privacy, and data anonymisation, as well as knowledge of data discovery techniques and tools.

Consultant to analyze, configure, and support Microsoft Dynamics 365 Finance (F&O) for financial processes. Requires 4+ years of experience in D365 Finance/AX, strong knowledge of financial processes, and ability to translate requirements into system configuration.

Design, implement, and optimize AI/ML models to support business processes.

Lead a team in building and maintaining backend systems using .NET, PostgreSQL, Redis, and React. Responsibilities include architecture decisions, code quality, team mentorship, and production system management. Requires experience with CI/CD, Docker, AWS, and API design.

Senior Software Engineer will develop new Java middle tier/server-side functionality and contribute to front-end development. Requires financial software experience or a strong understanding of financial markets. This is a hybrid role with 3 days in the office per week.

Senior ML Engineer will design data pipelines, build predictive models for CNC/robotic arm optimization, and collaborate with simulation engineers. Requires 4+ years experience with time-series or predictive ML models, Python, and experience with Kafka, Spark, or cloud-based streaming systems.

Support the design, development, testing, and maintenance of SAP ABAP programs under the guidance of senior developers. Translate business requirements into technical specifications and solutions. Collaborate with functional consultants and team members to deliver quality solutions. Document development work and contribute to team knowledge sharing.

Senior Data Scientist to design, develop, and deploy production-grade machine learning models. Responsibilities include model ownership, research and innovation, engineering, streamlined deployment, and data expertise. Requires proficiency in Python, MLOps, Docker, CI/CD, API development, and stakeholder management.

Staff Test Engineer will analyze customer issues, develop test strategies, and construct physical test harnesses. Responsibilities include participating in engineering best practices, understanding QA methodologies, and working knowledge of CI/CD. Requires a minimum of 8+ years of related experience, proficiency in C or C#, and familiarity with operating environments such as Windows, Linux, and VMWare.

Senior Flutter Developer needed for a cloud platform project. 5+ years of IT experience required, including 4+ years of commercial Flutter development. Must have in-depth knowledge of the Flutter framework and experience building software libraries. English proficiency (Upper-Intermediate or Advanced) is required.

Experienced iOS developer needed to maintain, optimize, and develop features for a successful weight-loss app. Must have 4+ years of iOS development experience, strong Swift knowledge, and a proven track record.

Provide technical support to customers and Kongsberg Maritime employees globally. Collaborate with Field Service, Warranty Team, and other departments to improve processes and quality. Execute training and certification for service engineers.

Translate business problems into ML/AI solutions and deliver models to production. Build and operate end-to-end ML systems, owning data pipelines, modeling, deployment, monitoring, and iteration. Combine software engineering fundamentals with practical machine learning expertise and MLOps experience.