635 English-speaking jobs in Łódź

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.

Lead technical initiatives in AI/LLM/GenAI, designing and building scalable solutions. Translate business problems into AI solutions, mentor junior engineers, and collaborate with cross-functional teams.

The Analytics and Reporting Expert provides ad-hoc reporting and data analysis to leadership and stakeholders. The role supports progress reporting, maintains data governance, and ensures data integrity. Requires proficiency in Excel, Power Query, and data modeling. Strong communication, analytical, and project coordination skills are essential.

IT Analyst specializing in payments will collaborate with stakeholders to translate business strategies into technical requirements. Requires experience in IT/business analysis, API development, data mapping, and process modeling. Strong SQL, communication, and collaboration skills are essential.

Leads execution of complex deliveries, manages dependencies, removes impediments, and coaches teams to improve flow and collaboration. Requires strong experience as a Scrum Master, proven delivery execution track record, and expertise in Agile methodologies.

Senior PAM/Secrets Management IT Security Business Analyst needed to drive and facilitate meetings, document requirements, and collaborate with stakeholders to mature the PAM offering.

Remediation Execution Analyst to monitor progress, coordinate teams, and ensure timely execution of remediation actions in a large-scale project.

Senior IT Analyst to lead requirements management for complex Retail & Credit domain projects. Collaborate with business, IT, and development teams to translate business needs into clear, structured, and testable requirements.

Linux Engineer to design, implement, and automate solutions using CI/CD technologies. Requires expertise in Red Hat Enterprise Linux 8, Ansible, Bash scripting, and Python. Experience with SAFE SCRUM and strong collaboration skills are essential.

Senior Automation Tester will work in a scrum team to ensure high quality by testing and validating Restful APIs. Responsibilities include test case planning, design, and execution, building and maintaining automated test suites using Python and Robot Framework, and providing test results.

Senior Project Manager to lead and deliver IT projects within Identity Access Management (IAM) and Cyber Security. Requires 5+ years experience in similar roles, strong communication skills, and knowledge of Privileged Access Management (PAM) and security solutions. Experience with Mainframe/RACF is beneficial.

Senior System Analyst to design, analyze, and document data and integration solutions within a banking environment. Experience with REST APIs, data modeling, ETL processes, Power BI, and technical documentation required.

Technical Project Manager to implement HPNS backups with solution design, installation, configuration, and data migrations. Requires experience managing projects within the HPE NonStop ecosystem, database management, and change management frameworks.

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, and AI risk management.

Design and oversee data architecture, including databases, data warehouses, and integration systems. Collaborate with stakeholders to translate business requirements into data solutions. Define and implement data management processes, ensuring data security and compliance.

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.

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. 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.

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.

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.