122 English-speaking jobs in Podlaskie Voivodeship

Develop and maintain high-performance data processing platforms using Spark, Cloudera, Airflow, and Iceberg. Design and implement data pipelines for automotive, aerospace, and telecommunications projects. Collaborate with teams to understand data requirements and ensure seamless integration.

Senior Data Engineer to develop and maintain a high-performance data processing platform for automotive data. Responsibilities include designing and implementing data pipelines, optimizing data workflows, and collaborating with cross-functional teams. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Kafka, Airflow, NiFi, Docker, Iceberg), strong Python (or Java/Scala) skills, and experience in cloud environments.

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.

Data Scientist / ML Engineer will design, implement, and validate Machine Learning solutions. Responsibilities include understanding client needs, translating business problems into data science problems, and developing scalable AI solution architectures. Requires 3+ years of experience designing and implementing scalable AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments (AWS or Azure).

Lead Data Engineer to design and develop scalable data management architectures and platform solutions using technologies like Spark, Hadoop, and AWS. Responsibilities include designing data governance processes, developing CI/CD and MLOps processes, and collaborating with the Data Science team. Requires 7+ years of experience in implementing Big Data systems, strong programming skills in Python or Java/Scala, and experience with cloud environments.

Senior Data Engineer will design and develop data processing pipelines, architect data platforms, and collaborate with Data Science teams on Machine Learning projects. Requires 5+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in technologies like Databricks, Airflow, and Spark.

Senior Data Scientist / ML Engineer will design, implement, and validate Machine Learning models to support business objectives. Responsibilities include researching, testing, and selecting AI solutions, understanding client needs, and translating business problems into data science problems. Requires 5+ years of experience in AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments.

Senior/Lead Software Engineer to design and implement robust, scalable software solutions. Requires 7+ years of Java development experience, Oracle database expertise, and experience with cloud-native technologies (Azure) and legacy systems (WebLogic, IBM MQ). Must have experience with Kafka, Kubernetes, REST APIs, and Domain-Driven Design. Excellent communication and leadership skills are essential. Fluent English required.

Senior AI Engineer with 5+ years of Python experience sought to develop scalable AI systems, including LLMs and Generative AI. Responsibilities include transforming Data Science prototypes into production-ready solutions, building backend components, and ensuring code quality. Experience with backend frameworks (e.g., FastAPI), databases, Docker, Git, and cloud environments (AWS, GCP, Azure) is required.

Experienced Salesforce Developer to design, develop, and optimize Salesforce solutions. Requires 3+ years of experience with Apex, LWC, and SOQL. Must have Salesforce certifications and experience with declarative and programmatic development.

Senior Consultant for IT projects in financial institutions, primarily insurance. Lead Agile implementations, define functional requirements, and mentor teams. Requires 5+ years in financial IT projects and strong English skills.

Senior Software Engineer to build APIs and secure access control systems for a graph-powered analytics platform. Requires 8+ years of backend experience, fluency in Java, Spring, and CI/CD, and experience with relational and graph databases.

Implement and customize Salesforce solutions for insurers and banks. Configure, integrate, and customize Salesforce software to meet client needs. Create, design, and implement state-of-the-art solutions.

Lead the development and implementation of scalable AI solutions, including machine learning, optimization, NLP, and computer vision. Design AI architectures, research tools and technologies, and translate business problems into data science solutions. Collaborate with engineering teams to build AI applications and present findings to stakeholders.

Manual QA Engineer to join an international team working on an insurance platform. Experience with manual testing, tools like JIRA, Confluence, Postman and SQL, and Guidewire platforms is required. Fluency in English is essential.

Design, build, and maintain conversational solutions using Microsoft Copilot Studio. Integrate copilots with APIs, external systems, and enterprise platforms. Implement AI-driven capabilities and optimize conversational user experience.

Senior Cloud Engineer will design, build, and maintain automated VM lifecycles across Azure and AWS. Responsibilities include engineering golden images, implementing patching and compliance workflows, and using Terraform, Bicep, Ansible, PowerShell, and Python for automation.

Senior AI Engineer needed to design, implement, and optimize AI/ML solutions. Experience with large language models (GPT-4, LLaMA, Copilot, GROK), Python, Azure cloud services, and MLOps practices required.

Lead the development, implementation, and validation of Machine Learning solutions. Design AI solution architectures, research and select tools and technologies, and translate business problems into data science problems. Architect and oversee data pipelines and workflows, coordinate with engineering teams, and present findings to stakeholders.

Senior AI Engineer will develop scalable AI systems, including LLMs and GenAI, transforming Data Science prototypes into production solutions. Responsibilities include building and enhancing backend components using Python and frameworks like FastAPI, ensuring code quality, and participating in deployment and maintenance in a cloud environment.