756 English-speaking jobs in Łódź Voivodeship

Senior Business Systems Analyst to lead and contribute to applications, technology projects, and strategic initiatives. Configure systems, perform testing, deploy solutions, and provide post-implementation support. Document functional specifications and define system scope.

Senior IT Analyst to drive end-to-end requirements management in complex Retail & Credit domain initiatives. Collaborate with business, IT, and development teams, analyze data flows, and support solution design.

Designs, develops, and maintains .NET applications and services. Writes and maintains automated tests. Collaborates with QA, DevOps, and product teams.

Designs, implements, and maintains automated test solutions for web, API, and mobile applications. Executes functional, integration, acceptance, and automated tests. Develops and maintains automated test frameworks using Selenium WebDriver or similar tools.

IT Operations Specialist to support system maintenance and delivery in a production environment. Responsibilities include release management, issue resolution, incident handling, and root cause analysis. Requires experience with Docker, Kubernetes, CI/CD tools, code repositories, Kafka, SQL, authentication mechanisms, cryptography tools, secure communication protocols, logging tools, monitoring tools, and microservices architecture.

Data Analytics and Reporting Expert needed to support multiple projects. Responsibilities include responding to ad-hoc analysis requests, maintaining automated data processes, ensuring data quality, and preparing reports for executive audiences. Must have advanced Excel skills, experience with Power Query, and strong analytical and communication skills.

The Secure AI Innovation Engineer supports clients in increasing their cybersecurity maturity by assessing security posture, identifying gaps, and defining improvement roadmaps. The role involves designing and implementing end-to-end security controls across applications, cloud infrastructure, and development processes. The engineer enables secure adoption of AI technologies, including LLMs and Agentic AI, by designing and securing client environments. The role requires a strong understanding of application security, cloud security, and AI security concepts.

Manage technology transition paths for M&A engagements, conduct architecture assessments, and develop solutions for organizational technology landscapes. Drive enterprise architecture strategies aligned with business objectives, focusing on functional rationalization and process optimization. Shape technology vision and innovation, providing technical guidance throughout the transition process.

Senior .NET Developer to design, develop, and maintain a Portfolio Management System. Responsibilities include backend services, desktop applications, and system integrations using C#, .NET, WPF, RESTful APIs, and RabbitMQ. Requires commercial experience with C#, .NET, VSTO, WCF services, Entity Framework, ADO.NET, and MS SQL Server.

Help clients reinvent their processes using digital tools and AI. Advise on process reinvention to realize value as part of digital transformation projects.

Leads the design and implementation of AI-driven QA frameworks for enterprise clients. Drives process innovation and automation strategies for ERP, e-commerce, and cloud native applications. Collaborates with clients and internal teams to integrate modern QA methodologies into the SDLC. Evaluates emerging QA technologies and shapes QA approaches for complex environments.

Data Architect to design and maintain data models across agency, advisor, partner, and transactional domains. Responsible for Snowflake warehouse design, identity linkage strategies, and ensuring data reliability for downstream analytics tools. Requires experience with Snowflake, SQL, Azure Blob Storage, and API-driven ingestion patterns.

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.

Data Engineer Architect to design, build, and maintain a scalable enterprise data platform using Databricks. Requires 8+ years of data engineering experience, 4+ years with Databricks, and expertise in Python, SQL, and cloud platforms (Azure, AWS, or GCP).

Senior Penetration Tester to conduct advanced security assessments of applications, systems, and infrastructure. Responsibilities include identifying vulnerabilities, developing attack scenarios, and collaborating with technical and business teams. Requires 5+ years of experience in penetration testing with expertise in web, mobile, and infrastructure security.

Senior .NET developer to build, maintain, and support a web-based self-service portal for the financial services industry. Responsibilities include developing new features, ensuring reliability, investigating incidents, and collaborating on CI/CD pipelines. Requires experience with ASP.NET Core, Azure services, and Azure DevOps.

Designs and documents data ingestion flows and data models for an enterprise data warehouse. Translates business requirements into technical documentation for data engineers. Collaborates with stakeholders and development teams to ensure designs meet business needs and adhere to data design principles.

DevOps Engineer to automate development processes, streamline CI/CD pipelines, and manage AWS serverless infrastructure. Collaborate with engineering teams on platform consolidation and system hardening.

DevOps Engineer to design, build, and operate scalable cloud-native systems on AWS. Focus on infrastructure as code (Terraform), serverless and containerized environments, and system observability. Requires experience with AWS services, Terraform, Linux, monitoring tools, Python scripting, and Agile processes.

Data Architect will design and evolve data architectures for AI/ML workloads, including fraud detection, risk scoring, and spend optimization. Responsibilities include developing data models, pipelines, and strategies aligned with platform roadmaps. Requires 10+ years of experience in data architecture, cloud native platforms (AWS), and ML operations.