546 English-speaking jobs in Łódź

Senior Data Engineer to design and implement scalable data architectures using Google Cloud Platform (GCP). Experience with BigQuery, Dataflow, Pub/Sub, BI/ETL, and big data technologies required.

Lead AI Consultant will drive client discovery, pre-sales, and project shaping, translating business objectives into AI strategies and ensuring measurable impact.

Develop and maintain frontend applications using Angular and Capacitor for a modern enterprise digital platform. Integrate with REST APIs, backend services, and cloud environments (Microsoft Azure).

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.

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.

Lead technical initiatives in AI/LLM/GenAI, designing and building scalable solutions. Research and evaluate AI models, tools, and architectures. Translate business problems into AI solutions and mentor junior engineers. Collaborate with cross-functional teams to integrate AI capabilities.

Senior Marketing Cloud Engagement Developer needed to design, configure, and develop solutions within Salesforce Marketing Cloud. Requires 5+ years of experience with MCE modules (Journey Builder, Automation Studio, Email Studio) and proficiency in SQL, AMPscript, and SSJS. Must have Salesforce Marketing Cloud Developer and/or Consultant certifications. Experience integrating SFMC with external systems using REST/SOAP APIs is essential.

Lead the end-to-end implementation of SAP S/4HANA Controlling initiatives for a manufacturing company. Plan, execute, and monitor projects, ensuring alignment with business requirements. Act as a subject matter expert in SAP S/4HANA Controlling, including Product Cost Controlling and Material Ledger.

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.

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

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.

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 support solution design and delivery for IAM, Authorization, or SOC requirements in on-premise, cloud, and hybrid SAP landscapes. Manage project teams and contribute to business development opportunities in SAP Security.

Senior Data Scientist will leverage machine learning and cloud technologies to improve client businesses. Responsibilities include applying data-driven approaches to business scenarios, creating and using advanced analytics and ML algorithms, and collaborating in interdisciplinary teams. Requires a minimum Bachelor's degree in a relevant field and 4 years of experience in applying data-driven approaches. Proficiency in at least one programming and query language (Python, PySpark, SQL) and understanding of various Data Science, Machine Learning concepts and algorithms is necessary. Fluent English is required.

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.

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.

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.

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 Analytics Cloud and SAP Analytics Cloud Planning.

Lead IT implementation or advisory projects for the insurance sector, combining consulting, project management, and insurance business expertise. Manage projects from initiation to closure, overseeing timelines, scope, budget, risks, and dependencies. Supervise business analysis and solution design, act as a team leader, and build client relationships.