118 2022 Pomeranian Voivodeship English-speaking jobs in Podlaskie Voivodeship

AI Engineer to design, implement, and deploy generative AI solutions using LLMs and Azure technologies. Requires 2+ years of experience, strong Python skills, and knowledge of RAG techniques and NLP.

Senior QA Engineer sought for large-scale projects. Requires 5+ years experience in QA/testing, 3+ years with Playwright, TypeScript knowledge, and experience with API testing, performance testing, and defect management tools.

Senior Backend Engineer will build and scale event-driven microservices in Python on AWS. Responsibilities include designing microservice and event-driven architecture, productizing and maintaining existing services, and working with CI/CD (Jenkins preferred), monitoring, and observability.

Experienced Guidewire Business Analyst needed for long-term project with international insurance client. Requires 4+ years experience in insurance/finance, strong Guidewire (PolicyCenter, BillingCenter) skills, and understanding of insurance processes.

Lead Data Engineer to design and implement large-scale data platforms based on Databricks. Responsibilities include leading the development of distributed data processing pipelines, ensuring high performance and reliability of data systems, and guiding engineering teams in implementing best practices for modern data architecture.

Java Developer to join the IRIS 6 Team, building and maintaining production-grade applications. Strong experience with Java, Spring ecosystem, relational databases, and PostgreSQL. Familiarity with schema/version management tools and software engineering best practices. Experience with Agile methodologies and tools like Jira.

AI Solution Architect will design scalable AI solutions, identify high-impact use cases, and bring AI initiatives from concept to production. Responsibilities include leading AI architecture design, evaluating AI frameworks and tools, and ensuring AI solutions meet security and ethical standards. Requires a Bachelor's or Master's degree in a related field, experience with AI applications and modern AI technologies, and strong communication skills.

Solution Engineer to help clients leverage AI and data platforms. Align technical solutions with business goals, including machine learning, LLMs, and cloud data platforms. Provide technical expertise during pre-sales engagements and support solution design and implementation.

Design, develop, and optimize BI and data analytics solutions. Participate in the full data lifecycle, including ingestion, transformation, modeling, and visualization. Build and manage data models and ETL/ELT pipelines. Work with large datasets, ensuring data quality and availability. Automate data processing workflows using SQL, Python, or Scala.

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.

Senior DevOps CI/CD Pipeline Engineer to design, implement, and optimize GitLab Ultimate-based CI/CD environments. Responsibilities include defining DevOps workflows, enhancing IT security, and collaborating with development teams. Requires 5+ years of relevant experience, 2+ years with GitLab Ultimate, and expertise in Terraform, Ansible, Kubernetes, and cloud platforms.

Senior Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Airflow, Spark, and other Big Data technologies. Experience with cloud environments (Azure preferred), data modeling, and SQL is required.

Data Engineer to design and develop data platforms using Databricks, Spark, and other Big Data technologies. Projects include data platform development for aerospace companies, data platform transformation for an energy management association, and data transformation pipelines for a global car manufacturer. Requires 3+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in cloud environments (Azure preferred).

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 Data Engineering and Software Engineering teams, and present findings to stakeholders.

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.

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 Python or Java/Scala skills, and a Master's or Ph.D. in a related field.

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 architecting data pipelines. Requires 5+ years of experience in AI, proficiency in Python and ML libraries, and knowledge of cloud environments (AWS or Azure).

Senior Data Engineer to design and develop data processing platforms for automotive and aerospace clients. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Airflow, Kafka), cloud environments (AWS), and programming languages (Python, Java/Scala). Excellent communication and client management skills are essential.

Data Engineer to develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Projects involve Spark, Cloudera, Airflow, Iceberg, Python, AWS, Azure, and Databricks. Requires 3+ years of experience with Big Data systems, data governance, and cloud environments.

Senior SAP ABAP Developer with 6+ years of experience in classical and object-oriented ABAP (7.40+), RAP, CDS, OData, SAP Fiori/UI5, and integration technologies.