6679 English-speaking jobs in Masovian Voivodeship

Senior Data Engineer will design and build scalable ETL pipelines, develop real-time and batch data ingestion systems, and create multi-tenant data models. Responsibilities include optimizing analytical databases, implementing data quality checks, and ensuring secure data access. Requires 5+ years of experience in Data Engineering, strong SQL and Python skills, and experience with ETL tools and analytical databases.

Senior Software Engineer will oversee manufacturing infrastructure related to PCBA production. Responsibilities include managing servers, troubleshooting scripts and programs, and working with Product Development teams. Requires an Engineering Degree in Electronics or Computer Science, 8+ years of software experience, strong Python skills, and excellent communication skills.

about-project : We are looking for an experienced Product Manager to drive the strategy, development, and commercialization of Network API products.

technologies-expected : Microsoft 365 Microsoft Power Platform technologies-optional : Azure SQL Microsoft SharePoint about-project : We are looking for a skilled Microsoft 365 Consultant to join our team and work closely with clients to deliver innovative Power Platform and AI-driven solutions.

Full Stack Principal AI Deployment Engineer will own the product development lifecycle, integrating AI models and tools to optimize workflows. Requires experience managing full-stack development, collaborating with product teams, and mentoring engineers.

Lead a team of Java developers in the design, development, and maintenance of a service-oriented platform with 300+ RESTful microservices.

technologies-expected : Python SQL Apache Spark GitLab Confluence Jira technologies-optional : Apache Iceberg about-project : In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Data Scientist to join a project within the automotive industry.

technologies-expected : Azure Power Platform Power Automate Copilot Studio Power Apps AI services about-project : Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.

As a Senior MLOps Engineer – AI Infrastructure & Pipelines, you will design and maintain CI/CD pipelines for machine learning models, automate deployment and monitoring of AI solutions, and manage cloud-based infrastructure. You will collaborate with data scientists, implement model monitoring systems, and troubleshoot production issues.

Senior Data Scientist to lead improvements in personalization models, focusing on customer retention and menu ranking. Responsibilities include model optimization, backtesting, experimentation, and collaboration with cross-functional teams. Requires strong Python skills, Databricks, PySpark, and experience with Generative AI tools like Claude.

Provides deployment and support services for UPS approved technology products. Supports internal and external customers and UPS IT infrastructure. Performs hardware and software planning, network management, and technical training. Troubleshoots technology issues and collaborates on standardized practices.

Manages day-to-day HRIS operations, system configuration, and data accuracy. Analyzes HR data, provides reports, and identifies process improvement opportunities. Collaborates with stakeholders on system implementations and enhancements. Provides training and support to HRIS users. Requires fluency in English, a university degree in a related field, and 5-8+ years of experience in HRIS support or a comparable role. Experience with SAP SuccessFactors and HR system configuration is essential.

Collects, processes, and analyzes complex datasets to generate insights and build reports and dashboards. Collaborates with cross-functional teams to ensure data accuracy and integrity. Performs data and statistical analysis using programming languages.

Red Hat OpenShift Administrator will configure, deploy, and maintain containerized applications on OpenShift. Responsibilities include managing application namespaces, configuring application exposure and routing, implementing application security, and supporting development teams.

Supports the development and optimization of the CRM ecosystem across Central Europe, focusing on Salesforce and Salesforce Marketing Cloud. Ensures CRM infrastructure is maintained and improved, develops marketing automation journeys to drive consumer conversion, retention, and loyalty.

Assistant Vice President (AVP) - FinanceMiejsce pracy: WarszawaYour responsibilitiesResponsible for month-end close process for various Funds Incl.

Software Engineering Manager to lead and manage engineers across multiple teams and locations. Develop and deliver architecture and roadmap initiatives for Hybrid and On-Prem AI Infrastructure. Collaborate with product, go-to-market, and engineering teams to implement strategies and influence product direction. Contribute to customer advocacy by understanding user needs and delivering solutions.

Senior Data Engineer to design, implement, and maintain scalable data platforms on Google Cloud Platform. Develop and maintain data pipelines, implement data ingestion, and build and optimize transformation logic. Collaborate on schema evolution and deployments using CI/CD. Troubleshoot pipeline failures and support monitoring and alerting processes.

Oversee the operational status and performance of EV chargers globally. Track KPIs, uptime, and operational performance. Act as a central point of contact for issues, providing guidance and coordinating support. Manage vendor performance and support new rollout projects.

As a core member of agile project teams, you will design, build, and maintain robust data solutions and infrastructure using Foundry. You will work on cutting-edge data and AI topics, leveraging the full potential of the Foundry platform to solve real-world business problems. You will develop, deploy, and troubleshoot complex data pipelines and processing systems, driving optimization, testing, and tooling to ensure exceptional data quality. You will collaborate with software engineers, ML experts, and stakeholders in a cross-functional agile environment. You will have a minimum of 1 year of experience working with the Foundry platform, ideally within a larger company. You will have demonstrated experience with AIP, Workshop, Code repository, and Pipeline Builder. You will have a solid understanding of security concepts within Foundry, including restricted views and markings. You will have knowledge of Ontology and Data connection. You will be proficient in Python and PySpark. You will be comfortable interacting with both business and technical clients, giving presentations, and possess a strong problem-solving mindset. You are willing to travel to meet with our clients and the team (up to 10% of your time).