118 English-speaking jobs in Podlaskie Voivodeship

Backend Engineer (Go) to develop, scale, and maintain backend services, primarily in Go, while supporting existing Node.js services. Design and optimize databases and caching layers. Take ownership of work from ticket to production deployment. Collaborate with teams to build configuration pools and participate in technical discussions. Migrate and refactor legacy systems.

Senior AI Engineer will develop scalable AI systems, including LLMs and GenAI, transforming Data Science prototypes into production-ready 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 design, development, and implementation of scalable AI solutions for global enterprises and startups. Responsibilities include architecting AI solutions, translating business problems into data science problems, and overseeing data pipelines and workflows. Requires 5+ years of experience in AI, strong Python skills, and expertise in ML algorithms, LLMs, and cloud environments (AWS or Azure).

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/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, Kafka, Kubernetes). Must have strong understanding of DDD principles and experience with RESTful APIs and integration patterns.

Solution Architect to design and implement robust, scalable software solutions. Requires 8+ years of Java development experience, Oracle database expertise, and experience with cloud-native technologies (Azure, Kafka, Kubernetes). Must have strong understanding of DDD principles and experience with RESTful APIs and integration patterns.

Shape high-impact data and AI solutions for clients. Design modern data platforms, architect for AI, and lead technical discovery. 8+ years in solution architecture, data architecture, or pre-sales with at least 4 years designing enterprise data platforms and analytics solutions. Deep expertise in at least two of: Databricks, BigQuery, Redshift, Microsoft Fabric. Proven design experience with batch and streaming pipelines. Skilled at delivering innovative, secure, and scalable solutions. Comfortable working with engineering, business teams, and cloud channel partners. Experienced in requirements gathering, RFP/RFI responses, and technical presentations.

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. Excellent communication and client management skills are essential.

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

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. Experience in AI/ML, LLMs, cloud platforms, and data engineering is required.

Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Spark, Airflow, and other Big Data technologies. Experience with Python, SQL, ETL, Azure, and data modeling required.

Senior Data Engineer will design and develop data processing pipelines, architect data platforms, and collaborate with Data Science teams on Machine Learning projects.

Salesforce Consultant will advise and guide insurance and financial clients through Salesforce implementation. Lead end-to-end Salesforce solutions in the insurance and finance sectors. Work with clients to design and implement solutions aligning with their business goals.

Business Analyst to join a consulting team supporting IT projects for financial institutions, primarily insurance companies. Responsibilities include business analysis, defining functional requirements, testing solutions, and collaborating with developers. Requires a bachelor's degree, fluency in English (C1 level), and understanding of agile methodologies.

Data Analyst will join consulting or implementation teams for IT projects in the financial sector. Responsibilities include business analysis, documentation, testing support, and data exploration using SQL, Excel, Python, and BI tools.

Analyze, resolve, and implement technical solutions for Atlassian systems, plugins, and scripts. Collaborate with users to automate business processes and support effective tool usage.

Data Engineer with 3+ years of experience in building and optimizing data pipelines. Experience with ETL/ELT processes, data warehousing, and data wrangling required. Proficiency in SQL and at least one programming language (Python, Java, Scala, R) is essential. Must have practical experience with Snowflake or Databricks.