1494 English-speaking jobs in Łódź

Senior Technical SEO Specialist needed to design and implement SEO strategies, optimize website performance, and analyze SEO data. Requires expertise in technical SEO, keyword research, content optimization, and SEO tools.

Lead IT solutions design, implement Guidewire core insurance system using Java/Gosu, and manage project teams. Requires 4+ years Java/Gosu development experience, 1+ year in a leadership role, fluency in English, and experience with systems integration or insurance.

Lead and execute migrations from Jira Server/Data Center to Jira Cloud, including verification, testing, and validation. Translate business concepts into technical solutions and provide problem-solving for clients. Conduct knowledge transfer sessions with outgoing Jira specialists. Manage or participate in projects from consulting and requirements gathering to solution design and implementation in the Atlassian tool stack. Provide ongoing support for internal Atlassian solutions. Collaborate with other teams to extend Jira functionality. Support sales teams with technical knowledge of Atlassian products. Troubleshoot and resolve technical issues reported by clients.

Data Engineer will develop and maintain ETL pipelines using PySpark, SparkSQL, and Python within a cloud-based (AWS) lakehouse data platform. Collaborate with data analysts, ML engineers, and other data professionals to deliver reliable datasets. Requires a Bachelor's degree, 1-3 years of experience in data engineering, strong Python and Spark skills, and experience with at least one major cloud platform.

Develop and maintain scalable integration solutions using SAP Integration Suite tools. Design, implement, and support integration solutions with SAP Cloud Platform Integration and SAP API Management. Provide technical guidance and support to team members.

Lead the development of the AI Platform for a middle-market private equity firm. Design and build scalable AI services, mentor engineers, and drive the adoption of best practices. Deep experience in building production RAG systems, GenAI, and traditional ML Engineering is required.

Machine Learning Engineer Data Engineer needed to design, implement, and deploy ML models and data engineering solutions. Requires 5+ years Python development, 4+ years database technologies (Hadoop, Spark), and 4+ years Machine Learning experience.

Senior Platform Engineer to design, implement, and deploy AI-first solutions accelerating developer productivity across the CI/CD lifecycle. Requires 5+ years of experience in software, DevOps, infrastructure, or platform development with Python, Groovy, Bash, cloud infrastructure (AWS, Azure, or Google Cloud), containers, CI/CD tools, and IaC languages.

Senior Data Engineer will contribute to the development of a centralized Lakehouse Data Platform on AWS and Databricks. Responsibilities include managing data infrastructure, ETL pipelines, and implementing monitoring and testing within the platform.

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.

Manage technology transition paths during M&A engagements by analyzing AS-IS landscapes and designing TO-BE architectures. Drive enterprise architecture strategies aligned with business objectives, emphasizing functional rationalization and process optimization. Shape technology vision and innovation, providing thought leadership and technical guidance throughout the transition process.

This role supports Accenture clients in IT Operating Model assessment, design, and implementation. Responsibilities include understanding client challenges, defining target states for Agile working, and coaching teams. Experience in Agile within IT environments, preferably as an Agile Coach, Scrum Master, or RTE, is required. Strong communication and problem-solving skills are essential.

Senior Data Engineer will contribute to the development of a centralized Lakehouse Data Platform on AWS and Databricks. Responsibilities include managing data infrastructure, ETL pipelines, and implementing monitoring and testing within the platform.

Senior Platform Engineer to design, implement, and deploy AI-first solutions for accelerating developer productivity. Requires 5+ years of experience in software, DevOps, infrastructure, or platform development with Python, Groovy, Bash, cloud infrastructure (AWS, Azure, or Google Cloud), containers, CI/CD tools, and IaC languages.

Lead the development of the AI Platform for a middle-market private equity firm. Design and build scalable AI services, mentor engineers, and drive the adoption of best practices. Deep experience in building production RAG systems, LLMs, and multi-agent systems is required.

Machine Learning Engineer Data Engineer will design, implement, and deploy ML models and data engineering solutions. Requires 5+ years Python development, 4+ years database technologies (Hadoop, Spark), and 4+ years Machine Learning projects.

Customer Quality Specifications Specialist will communicate with internal and external stakeholders regarding customer quality. Responsibilities include creating and managing inspection plans for various McCormick brands and acting as a point of contact for technical/quality assurance queries.

Senior JavaScript Engineer will build and maintain integrations with third-party SaaS platforms. Responsibilities include developing new connectors, enhancing the integrations marketplace, and supporting a move towards a developer portal.

Team Lead will oversee daily Outbound department operations at the Łódź site. Responsibilities include coordinating workflows, ensuring safety and productivity targets are met, and collaborating with other departments.

Supervises Accounts Receivable activities, including deduction management, team development, and process improvement. Prepares month-end reporting and supports other AR processes. Requires financial experience, strong analytical and communication skills, and proficiency in relevant software.