4261 English-speaking jobs in Lower Silesian Voivodeship

Senior Full-Stack JS Developer needed for a 100% remote role. Expertise in ExpressJS or NestJS, NodeJS, MySQL/MongoDB, React, Redux-Saga, and Axios required. Strong experience with REST APIs, Docker, Agile methodologies, and GitFlow is essential.

Senior ServiceNow Developer will lead the design and implementation of ServiceNow IRM solutions, ensuring alignment with best practices and organizational standards.

Enterprise Architect will ensure alignment between business strategy and IT solutions, defining target architectures and driving architectural governance. Responsibilities include supporting 24 business domains, conducting impact analyses, and leading architecture governance.

Solution Architect with 7+ years of experience needed for critical projects in maritime transport. Designs technical solutions, translates business needs into technical specifications, and ensures alignment with company standards. Expertise in data integration, processing, and modern data technologies (Snowflake, Qlik Sense, DataLake) is required. Strong understanding of orchestration, APIs, ESB, application flows, BPM, and RPA is also necessary. Fluent English required.

Senior Project Manager will lead multidisciplinary teams to deliver digital health solutions, focusing on remote patient monitoring, medication adherence, and patient engagement. Responsibilities include project execution, risk management, and communication with stakeholders. Requires a Master's Degree in Computer Science or related field, 10+ years of project management experience, and knowledge of software development processes.

Design and maintain Celonis dashboards, analyze process data, and identify inefficiencies. Validate data accuracy and participate in business workshops to translate process knowledge into visualizations. Provide training sessions and promote Celonis use-cases across teams.

Lead Data Engineer (Databricks) will design, build, and optimize scalable data platforms and pipelines. Responsibilities include implementing a data architecture, defining KPIs, and collaborating with data science and analytics teams. Requirements include a Master's degree in a related field, 4+ years of experience in Data Engineering, and strong experience with Databricks, Apache Spark, and Python.

Lead the design and architecture of complex software solutions, ensuring alignment with business goals and industry best practices. Collaborate with clients to understand their needs and translate them into technical requirements and solution designs. Provide technical leadership and guidance to development teams throughout the project lifecycle. Design and implement scalable integration solutions and evaluate emerging technologies. Identify potential risks and technical challenges and develop mitigation strategies.

Validate and monitor credit risk models, including ECL and LGD models, ensuring accuracy, stability, and regulatory compliance. Support model development teams and prepare validation reports. Analyze, control, and report on credit risks from a second line of defense perspective. Contribute to risk control projects, including stress testing.

Experienced Java Backend Engineer to join a major N. American bank. Design and implement robust software solutions for trading systems using core Java. Collaborate with operations teams and support production issues. Strong understanding of programming concepts, data structures, and distributed service-based applications is required. Ability to align working schedule to US Eastern business hours.

Senior Lead Platform Architect – Plugin and Ecosystem Design will design and establish a robust plugin architecture for a complex, multi-faceted platform. Responsibilities include defining governance, modularity principles, and security protocols, leading discovery sessions and workshops, and coordinating architectural decisions with development teams across Poland and other European markets. Requires at least 7 years of experience in enterprise system architecture and platform design, deep expertise in monorepo and platform architectures, and proven experience designing complex enterprise systems with a focus on modularity and security.

AI Engineer needed for projects involving LLMs, Generative AI, and backend development. Experience with Python, software design principles, and cloud environments (AWS, GCP, Azure) is required. Familiarity with frontend frameworks (React, Node.js, Nest.js, TypeScript) is a plus.

Design, develop, and maintain Big Data systems using technologies like Databricks, Airflow, and Spark. Collaborate with the Data Science team on Machine Learning projects. Translate business requirements into technical solutions.

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.

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 lead cross-functional teams. Understand client needs, translate business problems into data science problems, and architect data pipelines. Present findings to stakeholders, prioritize tasks within an Agile/Scrum framework, and ensure timely delivery.

Lead the delivery of IT projects from planning to execution, ensuring success and alignment with business strategies. Manage project scope, budget, resources, and risks. Communicate project updates to senior stakeholders.

Develop and maintain a high-performance data processing platform for automotive data. Design and implement data pipelines that process large volumes of data in both streaming and batch modes. Optimize data workflows using Spark, Cloudera, and Airflow. Collaborate with cross-functional teams to understand data requirements.

Lead the design, development, and validation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select AI solutions to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Coordinate with Data Engineering and Software Engineering teams. Present findings and recommendations to stakeholders.

Design and implement Azure-based solutions, including compute, networking, storage, identity, and security. Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, Bicep, or ARM templates. Support and optimize Azure Kubernetes Service (AKS) and container-based workloads.

Technical Team Lead to design, implement, and improve multi-account AWS environments using Terraform. Contribute to cost optimization and mentor other engineers. Requires solid AWS experience, Terraform, Python or Bash scripting, and strong communication skills.