1550 English-speaking jobs in Lower Silesian Voivodeship

Lead and coordinate SAP FI/CO projects, including analysis, design, configuration, testing, and implementation. Collaborate with key users to optimize financial and controlling processes.

As a Data Modeler/Designer, you will design and implement scalable, efficient, and secure data solutions. You will collaborate with stakeholders to build data architecture strategies and work with data engineers, data scientists, and IT teams to define robust data models. You will evaluate and recommend technologies for data storage, processing, and analysis.

Design, implement, and deploy SAP solutions to achieve business goals. Drive industry innovation by delivering SAP S/4HANA solutions. Minimum 5 years of experience in relevant related skills. Advanced proficiency in SAP BW/4HANA Data Modeling & Development. Very good command of English.

Design, implement, and deploy SAP solutions to achieve business goals. Drive industry innovation by delivering SAP S/4HANA solutions. Minimum 5 years of experience in relevant related skills. Advanced proficiency in SAP Analytics Cloud and SAP Analytics Cloud Planning.

Design and develop GenAI-powered solutions for business processes and decision-making. Collaborate with stakeholders to identify use cases and translate them into scalable solutions. Build and integrate applications leveraging LLMs with cloud AI services. Work with structured and unstructured data, preparing and optimizing pipelines for GenAI use cases. Contribute to both solution design and implementation, ensuring solutions are scalable, secure, and maintainable.

Design and implement scalable cloud-based data warehousing and analytics solutions using Azure Data Lake, Azure Databricks, Microsoft Fabric, and related services. Define best practices for data governance, security, performance optimization, and cost efficiency in Azure and Databricks environments. Collaborate with cross-functional teams to deliver end-to-end data platform solutions. Integrate Databricks with the broader Azure ecosystem. Advise clients on modernization strategies, including migration from legacy databases to Azure and Databricks-based architectures. Support pre-sales and solutioning activities. Stay up to date with innovations in Azure, Databricks, and Fabric.

SAP Security Analyst Consultant to support solution design and delivery for IAM, Authorization, or SOC in SAP landscapes. Experience in SAP GRC Access Control, SAP Authorization Management, or SAP Cybersecurity required.

Drive and develop technology vision, innovation, expertise and thought leadership in classical and AI-enabled enterprise architecture. Conduct end-to-end architecture assessments, define solutions, optimize application portfolio, and bring AI and agentic AI to the client's architecture and technology strategy. Manage technology transition paths, considering a good understanding of functional AS-IS, and translate it into a mature TO-BE landscape, managing the entire transition process. Assist our clients in creating and implementing sharp visions, strategies and roadmaps in the business and technology architecture domains.

Configure and implement OpenText Vendor Invoice Management (VIM) for SAP Solutions. Troubleshoot VIM implementation across all project phases. Collaborate with global teams on large-scale transformation programs.

Apply cloud and data engineering skills to solve problems and design approaches. Propose, build, and implement big data engineering solutions for clients. Design and develop scalable data pipelines to ingest, process, and transform large datasets.

Design, implement, and deploy SAP solutions to achieve business goals. Involved in full-cycle, large-scale, international projects. Drive industry innovation by delivering SAP S/4HANA solutions.

Lead and manage project teams on client engagements, acting as a trusted advisor to senior executives on data and AI strategies. Define advanced analytics and AI strategies, including GenAI and Agentic AI, aligned with enterprise ambitions. Design and operationalize Responsible AI frameworks, covering ethics, transparency, regulatory compliance, and AI risk management.

Drive and develop technology vision, innovation, expertise and thought leadership in classical and AI-enabled enterprise architecture. Conduct end-to-end architecture assessments, define solutions, optimize application portfolio, and bring AI and agentic AI to client's architecture and technology strategy. Manage technology transition paths, considering a good understanding of functional AS-IS, and translate it into a mature TO-BE landscape, managing the entire transition process. Provide architecture conscience, defining the right solution to meet the performance, scalability, flexibility, operations and capability needs. Assist our clients in creating and implementing sharp visions, strategies and roadmaps in the business and technology architecture domains that address the challenges and opportunities of new business models leveraging technology and possibly AI.

Senior GenAI Engineer will design and deliver production-grade GenAI and agentic AI systems. Responsibilities include architecting autonomous multi-agent systems, designing data backbones, building secure integrations, and owning the full production lifecycle. Requires 6+ years of software or data engineering experience, 2+ years with LLMs and Generative AI, strong Python and SQL skills, and experience building agentic AI solutions.

Contribute to shaping and delivering SAP data & analytics solutions, focusing on SAP Business Data Cloud (BDC) and SAP-native data products. Design, implement, and support SAP data warehousing solutions, including data products, semantic models, and analytics consumption using BDC and SAP Analytics Cloud (SAC). Translate business requirements into SAP data solutions and collaborate with cloud and data platform teams to deliver hybrid architectures.

Designs and builds scalable backend services and APIs using Python and FastAPI. Owns work end-to-end, from design through deployment and monitoring. Works with PostgreSQL, Docker, Azure services, and GitHub Actions. Integrates Agentic AI solutions. Collaborates with engineers, product owners, and stakeholders.

Senior Data Platform Engineer will design, provision, and maintain a lakehouse foundation on AWS. Responsibilities include implementing security, ingestion infrastructure, workflow orchestration, CI/CD pipelines, and governance. Requires strong experience with AWS data and platform services, Terraform, Apache Iceberg, and CI/CD engineering.

Senior Analytics Engineer will design, build, and maintain data models in dbt/Dataform on BigQuery. Responsibilities include developing analytical datasets, collaborating with stakeholders, ensuring data quality, and supporting data migration from AWS/Snowflake/Azure to GCP. Experience with GCP stack, SQL, data modeling, and data pipelines is required.

Senior Analytics Engineer will build and maintain business models, develop data marts, and implement data quality frameworks. Requires advanced SQL, data modeling, and experience with dbt, Iceberg, Athena, and Airflow.

As a Product Implementation Specialist, you will consult with end users, gather feedback, and translate needs into functional requirements. You will run UAT, analyze usage metrics, and prepare documentation. Experience implementing SaaS products or B2B systems is required.