334 English-speaking jobs in Podlaskie Voivodeship

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 translating business problems into data science problems. Requires 5+ years of experience designing and implementing scalable AI solutions, proficiency in Python, and knowledge of cloud environments (AWS or Azure).

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. Strong Python skills and experience with data modeling are essential.

Manages and coordinates internal and external resources for IT projects. Develops and implements project management plans and supervises project requirements. Provides project escalation management and supports customer Product Owner. Requires 5+ years of experience in a similar managerial role within IT and a valid certification (PRINCE2 Practitioner, PMP, or AgilePM Practitioner).

Senior Software Engineer will design, develop, and launch backend systems at scale using languages like Python or Kotlin. Experience with AWS, MySQL, Kubernetes, Airflow, Spark, Data Lake, and Snowflake is required.

Data Engineer (Snowflake + Power BI) will design, build, and maintain scalable data pipelines in Snowflake. Responsibilities include developing dashboards, data models, and reports in Power BI, integrating data from various sources, and ensuring data quality and reliability. Requires 4-7 years of experience in data engineering, BI development, or analytics engineering with strong Snowflake, SQL, Python, and ETL/ELT tool experience.

Manager Data Analytics (L3) for a leading Global Fintech Group. 5+ years experience in Data Analytics, BI, or related field. Sector expertise in FinTech, Banking, or Financial Services required.

Manager Data Analytics (L3) for a leading Global Fintech Group. 5+ years experience in Data Analytics, BI, or related field. Sector expertise in FinTech, Banking, or Financial Services required.

Manager Data Analytics (Level L3) for a leading Global Fintech Group. 5+ years experience in Data Analytics, BI, or related field with 3+ years in FinTech, Banking, or Financial Services. Expert in data mining, statistical modeling, and quantitative analytics. Designs dashboards, identifies growth opportunities, and leads data interpretation for Fintech verticals and regional operations.

Manages the full lifecycle of data science projects, designing and deploying ML models for a global fintech platform. Requires 5+ years of experience as a Data Scientist or Data Engineer, with 4-6+ years of applied data science and 3+ years in FinTech.

Cloud Engineer will design, implement, and optimize cloud infrastructure on the GCP platform. Responsibilities include managing cloud resources, developing CI/CD pipelines, ensuring security and compliance, and collaborating with teams to deliver solutions.

Quality Assurance Engineer to ensure the quality, reliability, and accuracy of data, services, and platforms for WPP Media's Open Intelligence data initiative. Responsibilities include test design and execution, automation, data quality assurance, defect management, and quality advocacy. Requires 2-4 years of experience in QA or Software Testing, strong understanding of QA methodologies and tools, and experience with API testing, SQL/Spark, and cloud platforms.

Frontend Engineer will craft intuitive and performant user interfaces for data products and AI platforms. Responsibilities include translating UI/UX designs into code, developing reusable components, and integrating with backend services. Requires experience with modern frontend technologies, data visualization libraries, and automated testing.

Backend Engineer to design, develop, and maintain robust backend systems for marketing technologies, including the WPP Open AI platform. Responsibilities include designing APIs, integrating with data sources, and optimizing system performance. Requires proficiency in Python, database systems, and containerization technologies.

Frontend Engineer will design, develop, and maintain interactive web applications using modern JavaScript frameworks. Responsibilities include translating UI/UX designs into code, integrating with backend services, ensuring quality and performance, and collaborating with a team.

Frontend Engineer to build intuitive and performant user interfaces for data products and AI platforms. Develop reusable UI components, integrate with backend services, and ensure quality, performance, and accessibility.

Senior Data Analytics Consultant needed for Global Fintech Group. 3-5 years experience in data analysis, business reporting, SQL, and data visualization (e.g., PowerBI). Strong analytical skills including forecasting and predictive modeling. Communicate technical findings to non-technical audiences.

Data Manager (L3) for a leading Global Fintech Group. 5+ years in Data Analytics, BI, or related field with 3+ years in FinTech, Banking, or Financial Services. Expert in data mining, statistical modeling, and quantitative analytics. Designs dashboards, identifies growth opportunities, and leads data interpretation for Fintech verticals and regional operations.

Data Manager (L3) for a leading Global Fintech Group. 5+ years in Data Analytics, BI, or related field with 3+ years in FinTech, Banking, or Financial Services. Expert in data mining, statistical modeling, and quantitative analytics. Designs dashboards, identifies growth opportunities, and leads data interpretation for Fintech verticals.

Frontend Engineer to build intuitive and performant user interfaces for data products and AI platforms. Develop reusable UI components, integrate with backend services, and ensure quality, performance, and accessibility.

Build AI-powered infrastructure for VC and PE clients, including agentic AI systems, full-stack applications, and data platform engineering. Translate business needs into technical proposals and own delivery end-to-end. Must have experience shipping production AI/LLM systems and proficiency in an AI-native coding workflow.