426 English-speaking jobs in Łódź Voivodeship

Design, develop, and maintain scalable backend services using .NET and C#. Collaborate with architects, DevOps, and QA to ensure high-quality, secure, and reliable systems. Contribute to technical design, architecture discussions, and code reviews. Implement automated tests, troubleshoot issues, and participate in Agile/Scrum ceremonies.

Team Leader for web applications using a microfrontend architecture. Requires several years of experience as a Senior Developer, Tech Lead, or Software Architect, including formal people management experience. Must have hands-on experience developing and evolving web applications based on microfrontend architecture (Angular) and experience delivering end-to-end projects.

Data & AI Consultant will design and deliver modern data platforms using Microsoft Fabric, Power BI, and Azure technologies. You will help customers build AI-enabled analytical solutions and transform data into actionable insights.

Develop, implement, and maintain group-wide models for credit risk, operational risk, capital requirements, and stress-testing. Calculate economic capital requirements and risk provisions. Analyze and report risk figures for regulatory, economic, and accounting purposes.

Senior Data Engineer will design, develop, and maintain scalable databases and data pipelines using SQL, Data Vault methodologies, and Google Cloud Platform (GCP). Responsibilities include data transformation using DBT, prototyping new ideas, and collaborating with experts to deliver innovative solutions.

Lead and support a DevOps team (10-20 people), managing day-to-day processes and fostering a positive team culture. Guide the team in adopting cloud-based solutions (e.g., GCP, Azure) and oversee application development and operations to ensure security, compliance, and high performance. Use containerization tools (e.g., Docker, Kubernetes) and CI/CD practices to enhance workflows. Coordinate with Product Managers, Architects, and others to align technical solutions with business goals.

Develop new products using Big Data and Cloud technologies. Process large amounts of data on the Data Lake and deliver services on premise or in the cloud. Work with Business Experts and data scientists to integrate models and results into the system landscape.

Platform Engineer focused on the physical and logical networking layer of large-scale GPU clusters. Requires 5-8 years of hands-on experience in systems architecture and engineering, including Linux networking, Kubernetes or Slurm, and monitoring stacks. Experience with AI platforms, MLOps, and network automation is beneficial.

Design, develop, and maintain scalable test automation frameworks for modern digital solutions. Collaborate with cross-functional teams to embed quality into every stage of the SDLC. Execute automated functional, integration, end-to-end, and regression tests. Identify performance bottlenecks and quality issues, and work with engineering teams to implement improvements. Promote Test-Driven Development (TDD), Shift-Left testing, and Quality Engineering best practices.

Lead and deliver cybersecurity assessments aligned with frameworks like ISO 27001, NIST, NIS2, or DORA. Manage cybersecurity projects and participate in consulting projects, including strategy development and data privacy consulting.

End-to-end ownership of data domains critical to Olympic operations and digital products. Design scalable XML/JSON/YAML structures and REST API contracts (OpenAPI 3.0). Translate business requirements into precise data interactions and drive alignment across stakeholders.

Senior Project Manager to support end-to-end IT initiatives in a complex banking environment. Minimum 5 years of experience as a Project Manager, preferably in large-scale IT and/or banking projects. Strong executive stakeholder management skills and experience with Agile/Scrum delivery.

Senior C# .NET Backend Engineer will design and implement robust software solutions for FX trading systems. Requires 7+ years of professional C# .NET development experience, strong understanding of algorithms, multi-threading, and low-latency systems. Experience building backend services for front-office trading systems and deep understanding of electronic trading platforms is essential.

Solution Architect will translate business requirements into secure, scalable cloud solutions. Define architecture, guide implementation teams, and ensure successful delivery of complex technology initiatives.

Solution Architect Consultant will translate business requirements into secure, scalable, and reliable cloud-based solutions. Design end-to-end architecture for cloud-native applications and platforms. Lead technical discussions and define enterprise architecture, integration, and infrastructure patterns. Support solution delivery throughout the project lifecycle. Guide development teams on architecture standards and best practices. Contribute to technical proposals and solution offerings. Promote and share architectural best practices across teams. Collaborate with senior stakeholders to drive strategic technology decisions.

Solution Architect will translate business requirements into secure, scalable, and reliable cloud-based solutions. Define end-to-end architecture for cloud-native applications and platforms, leading technical discussions with stakeholders and client teams. Ensure production readiness including availability, resilience, monitoring, and security. Guide development teams on architecture standards and best practices. Contribute to technical proposals, pre-sales activities, and solution offerings. Promote and share architectural best practices across teams. Collaborate with senior stakeholders to drive strategic technology decisions.

Data Science Specialist will design, build, and operate data products and AI applications. Responsibilities include managing data pipelines, ensuring platform stability, and collaborating with teams to resolve application issues. Requires a Bachelor's or Master's degree in a related field, strong SQL and Python skills, and experience with databases and enterprise systems.

Data Scientist will extract insights from large datasets, build and enhance AI/ML models, and conduct data analysis. Requires proficiency in at least two specialization areas (e.g., machine learning, computer vision, NLP) and strong Python skills with ML/AI frameworks. Experience with cloud platforms and MLOps concepts is essential.

The Senior Manager, Finance Transformation translates finance transformation priorities into structured initiatives and delivers outcomes. This role leads complex initiatives from mobilization through stabilization and value realization, ensuring initiatives are clearly defined, executable, and deliver tangible business impact. The Senior Manager partners with business, finance, and digital stakeholders to drive execution, adoption, and value realization.

Expert Applied Scientist to design, deploy, and lead machine learning solutions for improving map quality, scalability, and automation of speed limit data. Responsibilities include defining data analysis and model evaluation standards, building automated workflows, and mentoring other scientists. Requires 4+ years of experience in data science, strong machine learning expertise, and excellent Python skills.