81 English-speaking jobs in Podlaskie Voivodeship

Experience & skills: Minimum 2 years of commercial experience in Data Engineering, Analytics, Business Intelligence, or Data Platform development Experience designing and delivering data and analytics solutions using Microsoft technologies Good knowledge of SQL and relational databases (Azure SQL, SQL Server) Experience with Microsoft Fabric or strong experience with Azure Data & Analytics service

What you'll need to succeed in this role: 7+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems. Strong programming skills in Python or Java/Scala : writing a clean code, OOP design. Experience in designing and implementing data governance and data management processes.

What you'll need to succeed in this role: At least 7+ years of proven commercial experience with Java development and strong proficiency in Oracle database technologies, including performance tuning and schema design. Extensive experience in designing and implementing solutions across both modern, cloud-native architectures and legacy systems.

What you'll need to succeed in this role: At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems. Strong programming skills in Python : writing a clean code, OOP design. Strong SQL skills, including performance tuning, query optimization, and experience with data warehousing solutions.

What you'll need to succeed in this role: At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes. Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design. Hands-on with Big Data technologies like Spark , Cloudera, Data Platform, Airflow, Kafka, NiFi, Docker, and Iceberg.

What you'll need to succeed in this role: 3+ years of commercial experience as a Data Engineer. Strong proficiency in Python. Hands-on experience with Microsoft Azure and cloud-based data solutions. Solid understanding of data engineering concepts, ETL/ELT, and data pipeline development. Experience working with SQL and large-scale data processing.

What you'll need to succeed in this role: At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems. Strong programming skills in Python : writing a clean code, OOP design. Strong SQL skills, including performance tuning, query optimization, and experience with data warehousing solutions.

What you'll need to succeed in this role: At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes. Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design. Hands-on with Big Data technologies like Spark , Cloudera, Data Platform, Airflow, Iceberg, Kafka, and CI/CD.

What you'll need to succeed in this role: Strong hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments.

What you'll need to succeed in this role: Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Information Systems, or a related field Several years of proven experience working with AI applications and modern AI technologies (e. g. ML, Generative AI, LLMs, Agentic AI) Experience with major AI frameworks such as TensorFlow or PyTorch Experience with AI cloud platforms (e. g.

What you'll need to succeed in this role: Strong hands-on experience with Azure Data Factory and Databricks (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments.

you have at least 6 years of experience in the field of test automation (mandatory requirement), you know Java programming and SQL , as well as database-related concepts, you have experience working in Agile methodologies , particularly Scrum , you have worked on test automation, international projects, you are familiar with and comfortable using tools and technologies such as JIRA and Confluence

4+ years of experience in manual testing – frontend and backend Experience with tools like JIRA , Confluence , Postman and SQL Strong attention to detail and good communication skills Fluency in English – essential for daily communication in a multinational team General familiarity with Guidewire platforms (ClaimCenter, BillingCenter or PolicyCenter) is a must!

5+ years of software development experience Proven commercial experience with Guidewire BillingCenter/PolicyCenter (must-have) Strong Java development skills Experience with Guidewire integrations and configuration Solid knowledge of PostgreSQL or other relational databases Good understanding of REST/SOAP APIs and system integration patterns Experience working with CI/CD pipelines and modern DevOp

Getting to know the tools / technologies needed to meet the requirements; Analysis and implementation of solutions based on the provided requirements; Testing source code and debugging; Active participation in code review.

Minimum 5 years of experience in infrastructure architecture with a strong focus on Microsoft Azure Proven expertise in Azure and AVS networking, including landing zone design and deployment Hands-on experience with Azure VMware Solution (AVS) Gen 2 Strong customer-facing skills with excellent communication and stakeholder management capabilities Experience leading workshops and solution design ac

Minimum 6 years of experience in software development, particularly in at least one of the following programming languages: Python, .

Minimum 5 years of experience in a consultative or advisory role related to Microsoft Dynamics 365 and the Power Platform Expert knowledge of Microsoft Dynamics 365, including all CE 1st Party Applications, Dataverse, Power Apps, and Power Automate Strong understanding of software development lifecycle (SDLC) and experience with both Agile and Waterfall methodologies Ability to communicate effecti

Minimum 5 years of experience in DevOps engineering with a strong focus on Kubernetes and MQTT Deep expertise in managing Kubernetes operations, including Helm, CRDs, and Operators Hands-on mastery of MQTT broker management and performance tuning for industrial applications Practical experience with industrial OT protocols such as OPC UA, Modbus, and Profinet Solid understanding of GxP/CSV validat

Minimum 5 years of experience in Salesforce Marketing Cloud and strong technical knowledge of its core capabilities Ability to create solution designs for SFMC-based marketing technology solutions and understanding of SFMC architecture, data model, automations, journeys, segmentation, and campaign execution Proven experience with SFMC integrations with external systems, data platforms, CRM systems