105 2022 Pomeranian Voivodeship English-speaking jobs in Białystok

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.

Configure and operate time-series database infrastructure, develop and optimize stream-processing pipelines, and automate build and deployment processes.

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.

Junior Data Engineer will design and develop data processing pipelines for streaming and batch data using technologies like Databricks, Airflow, and Dagster. Responsibilities include collaborating with the Data Science team on Machine Learning projects, developing data transformations, and translating business requirements into technical 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.

Salesforce Consultant will design and implement Salesforce solutions for insurance and financial clients. Requires 4+ years of Salesforce implementation experience, 2+ years in financial sector IT projects, and fluency in English.

Addepto seeks a Pre-Sales Engineer to help clients leverage AI and data platforms. You will align technical solutions with business goals, act as a technical advisor, and support technical discovery. Requirements: Undergraduate degree in a relevant field, experience in technical roles, foundational understanding of cloud platforms, and strong communication skills. Familiarity with AI/ML workflows, LLMs, MLOps, and data engineering concepts is also 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.

AI Engineer to develop scalable AI systems, including LLMs and GenAI. Build backend components using Python and frameworks like FastAPI. Experience with LLMs, Generative AI, and backend frameworks 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.

Data Engineer needed to build and optimize data pipelines for financial sector clients. Requires 3+ years of experience in data engineering, ETL/ELT processes, and data warehousing. Proficiency in SQL, Python/Java/Scala/R, and experience with Snowflake or Databricks is essential.

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.