202 English-speaking jobs in Podlaskie Voivodeship

Lead Data Engineer will design, build, and optimize scalable data platforms and pipelines for automotive and finance industry clients. Requires 4+ years of experience in Data Engineering, proficiency in Databricks, Spark, Python, and SQL.

Program Manager to lead technical energy and sustainability projects focused on Building Management Systems (BMS) for a leading e-commerce client. Manage project implementation, stakeholder communication, and financial reporting across multiple countries.

Participate in projects developing and implementing design methodologies, including Model-Based Definition (MBD). Implement PLM systems, including MCAD data management functionalities. Lead CAD system transition and consolidation projects. Provide technical support in the field of solutions and products offered by the company.

SAP FI/CO Consultant needed for a dynamic team. Responsibilities include resolving incidents, improving business processes, and translating requirements into SAP solutions. Requires proficiency in S/4 HANA FI/CO modules, ABAP debugging, and at least 4 years of experience in SAP Finance and/or Controlling. Fluency in English is required.

DevOps Engineer needed to maintain, operate, and improve a Kubernetes-based data platform. Responsibilities include developing CI/CD pipelines, ensuring platform reliability, and automating infrastructure operations using Python.

Define, maintain, and develop enterprise architecture for the Ignition platform in a global building materials and industrial solutions organization. Focus on architecture, standards, and governance for a multi-site, hub-and-spoke environment. Collaborate with IT, Engineering, and Operations teams.

Senior Python Developer to implement and maintain scalable backend services and platform components. Collaborate with teams and clients to deliver new features and resolve issues. Diagnose and resolve complex technical problems.

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 Java Backend Developer to design, develop, and maintain backend services and APIs for a European e-mobility application. Build Java-based services deployed in Azure and ensure seamless integration with frontend and partner solutions.

Lead the design and delivery of enterprise-grade geospatial architectures, integrating satellite imagery, AI analytics, and cloud platforms. Build and deliver cloud-based GeoAI platforms, prototypes, and PoCs. Apply domain expertise in geospatial and Earth Observation data to identify business challenges and develop innovative solutions. Lead GeoAI projects, from pre-sales discussions to technical delivery and project execution. Bridge the gap between business and technical teams, ensuring effective communication and alignment of technical outcomes with client objectives.

AI Engineer to develop scalable AI systems, including LLMs and GenAI. Build backend components using Python and frameworks like FastAPI. Experience with cloud environments (GCP, AWS, Azure) and software engineering principles required.

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.

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.

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.

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).

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).

Experienced DevOps Engineer needed to design, build, and maintain Kubernetes-based infrastructure for a Financial Crime Risk Management platform. Collaborate with international teams to implement CI/CD, deployment strategies, and monitoring solutions. Requires 4+ years of DevOps experience, Azure Cloud knowledge, and expertise in Kubernetes design and implementation.

Senior Data Analyst will design, develop, and implement data solutions, dashboards, and visualizations using Power BI and SQL. Responsibilities include collaborating with team members on client projects, providing insights from data analysis, and supporting sales activities.

Expert Backend Engineer to design and build large-scale, distributed, cloud-native backend systems. Drive architectural decisions and lead complex engineering initiatives. Develop secure, scalable, and high-performance microservices and APIs. Mentor developers and promote engineering excellence.

Design, develop, and maintain scalable data pipelines on AWS. Manage and optimize AWS services such as S3, Lambda, Glue, Redshift, and EMR. Collaborate with data scientists, analysts, and software engineers.