1794 English-speaking jobs in Lower Silesian Voivodeship

Prepare individualized treatment plans based on doctors' recommendations. Develop visualizations of orthodontic treatment plans using CAD software. Meet productivity and quality targets.

Maintenance of machines, quality control, packaging, internal logistics transport, and warehouse upkeep. Work in three shifts. Experience in industrial/automotive environments is desirable.

Leads and supports the technical development and implementation of SharePoint and Microsoft 365 solutions. Deals with complex customizations, configurations, and integrations. Helps shape the Microsoft Business Applications technical capability.

Senior Data Platform Engineer will design and implement scalable data pipelines using Spark and Python to process large datasets. Responsibilities include developing lakehouse capabilities with Delta Lake and Iceberg, integrating dbt for SQL transformations, and collaborating with teams to provide curated datasets for reporting and analytics.

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 translate business problems into data science problems. Coordinate with Data Engineering and Software Engineering teams to build AI applications.

Lead the development, implementation, and validation of Machine Learning solutions. Design AI solution architectures, research and select tools and technologies, and translate business problems into data science problems. Coordinate with Data Engineering and Software Engineering teams to build AI applications.

Develop, implement, and validate Machine Learning solutions. Design AI solution architectures and research, test, and select tools and technologies. Understand client needs and translate business problems into data science problems.

Develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Design and implement data pipelines using Spark, Cloudera, Airflow, Iceberg, and Python. Collaborate with teams to understand data requirements and ensure seamless integration.

Solution Architect will design and implement robust, scalable, and secure software solutions. Responsibilities include leading the design of end-to-end architectural solutions, providing technical guidance to development teams, and evaluating technologies to solve complex business problems. The ideal candidate will have at least 5 years of experience with Java development, Oracle database technologies, and Microsoft Azure services. Experience with Kafka, Kubernetes, WebLogic Server, and Domain-Driven Design is also required.

Develop, implement, and validate Machine Learning models to support business objectives. Design AI solutions for complex business challenges. Research, test, and select tools and technologies to meet business requirements. Understand client needs and translate business problems into data science problems.

Senior/Lead Software Engineer to design and implement robust, scalable, and secure software solutions. Requires deep understanding of modern and legacy architectures, cloud-native technologies, and integration of disparate systems. Leads design and development, provides technical guidance, and mentors junior team members.

Senior Data Engineer will design and optimize data processing pipelines using Databricks, Apache Airflow, and Dagster. Responsibilities include architecting data platforms, leading CI/CD and MLOps processes, and collaborating with Data Science teams. Requires 5+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in cloud environments (Azure preferred).

Lead the migration of ETL processes from Informatica PowerCenter to Airflow dbt on-premise. Design, build, and optimize dbt models and data transformations. Develop and maintain Airflow DAGs and orchestration pipelines.

Support business decision-making through financial analysis, reporting, and forecasting. Prepare monthly reports, forecasts, and variance analyses. Collaborate with the FP&A team and stakeholders.

Maintain and optimize server environments, resolve infrastructure incidents, and provide technical support. Analyze technical issues, propose solutions, and document infrastructure setups. Collaborate with IT teams and vendors to ensure seamless service delivery. Manage server hardware, perform backups, and plan for future infrastructure needs.

Experienced business or tech leader with 7+ years in leadership roles seeks to co-found a B2B tech venture. Collaborate with other professionals to explore, validate, and build a startup from the ground up.

Skilled Senior Full Stack Developer with expertise in Java and Angular to design and build scalable web applications. Responsibilities include providing technical guidance, writing maintainable code, analyzing and solving complex problems, and ensuring software quality. Requires 5+ years of Java experience, 3+ years of Angular experience, and familiarity with cloud platforms, relational databases, and microservice architectures.

Designs and implements end-to-end solutions supporting Order to Cash (O2C) processes in a global contact center environment. Integrates Salesforce Service Cloud, SAP S/4HANA, SAP CPI, EDI platforms, and ESKER, enabling real-time data exchange and automation. Leads development and support of interfaces using technologies such as IDOC, iFlows, RFC, Proxy, EDI, JDBC, and BAPI. Ensures high availability and performance of contact center applications. Collaborates with business analysts, developers, and IT teams.

This 3-month training program provides foundational skills in embedded C/C++, Linux environments, and Python scripting. Trainees will work on Academy/POC projects, gaining experience with Agile methodologies and commercial SDLC processes.

Lead Product and Product Marketing, shaping the roadmap and narrative for a trusted data and intelligent marketing platform. Drive innovation, scale AI thoughtfully, and champion our unified offering. 7+ years of experience in Product Management and/or Product Marketing, ideally in SaaS, analytics, or martech.