137 English-speaking jobs in Podlaskie Voivodeship

Manage and optimize Salesforce (SFDC) licenses across an organization. Support IT organizations with license requirements, process orders, and monitor consumption. Identify cost optimization opportunities and prepare license forecasts.

Lead the design and implementation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select tools and technologies to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Present findings and recommendations to stakeholders.

Lead the development and implementation of AI solutions, including machine learning, predictive modeling, and optimization. Translate business problems into data science problems and architect data pipelines. 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).

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.

Lead Data Engineer to design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies. Responsibilities include designing data management and data governance processes, contributing to CI/CD and MLOps processes, and collaborating with the Data Science team. Requires 7 years of experience in implementing, developing, or maintaining Big Data systems, strong Python or Java/Scala programming skills, and familiarity with technologies like Spark, Cloudera, Airflow, Kafka, NiFi, Docker, Kubernetes, and Iceberg.

Participate in paid online and in-person market research studies. Complete surveys, focus groups, and provide product feedback. Must have a working camera, reliable internet, and the ability to follow instructions.

AI Engineer needed to develop scalable AI systems, including LLMs and Generative AI. Experience with Python, LLMs, backend frameworks, and cloud environments required.

Senior Implementation Engineer to drive enterprise SaaS implementations for large organizations. Develop solutions, partner with stakeholders, and ensure successful onboarding. Requires 3+ years of experience in IT/OT software, strong technical skills, and excellent communication.

Design Engineer / Business Analyst needed for projects developing and implementing design methodologies, including MBD. Experience with Creo Parametric, SOLIDWORKS, and PLM systems required.

Lead Data Engineer (Databricks) will design, build, and implement scalable data architectures for high-volume simulation data. Responsibilities include developing data preprocessing pipelines, defining KPIs, and collaborating with data engineering, analytics, and data science teams. Requirements include a Master's degree in a related field, 4+ years of experience in Data Engineering, and strong experience with Databricks, Apache Spark, and Python.

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. Must have proficiency with S/4 HANA FI/CO modules, ABAP debugging skills, and at least 4 years of experience. Fluency in English is required.

This role involves conducting live reports, preparing and presenting topics on air, and building a network of contacts and information sources.

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.

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.

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.

Senior SAP HCM Consultant needed for a project focused on managing and developing integrations between SAP HCM and SuccessFactors Employee Central. Responsibilities include analyzing change requests, implementing interface adjustments, and providing expert advice to HR departments. Requires over 5 years of SAP HCM experience, strong knowledge of SuccessFactors integration, and excellent communication skills.

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.

Lead a team of engineers focused on accelerating developer productivity across the CI/CD lifecycle by building platform-oriented application infrastructures and tooling. Manage individual contributors, collaborate with Product teams, and own the outcomes of your unit. Architect and maintain scalable, reliable, and secure internal tooling via infrastructure as code.

AI Engineer with 3+ years of Python experience needed to develop scalable AI systems, including LLMs and GenAI. Responsibilities include transforming Data Science prototypes into production-ready solutions, building backend components, and ensuring code quality. Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL) is required. Familiarity with Docker, Git, and CI/CD concepts is also needed. Optional experience with frontend frameworks and Data Science is a plus.