analyst English-speaking jobs in Świdnica

Experienced Data Modeler/Data Management Specialist to design, optimize, and standardize financial data models. Requires 5+ years of experience in data management, expertise in SQL, Python, Spark, and various database technologies.

Software Development Engineer II will work on the Marketing AI Team, building a foundation layer for AI tools and products. Responsibilities include owning problems end to end, making autonomous decisions, and working with data to drive solutions.

Deliver interactive, role-based ServiceNow trainings for end users, key users, and local trainers globally. Enable regional trainers to deliver localized ServiceNow trainings. Adapt training materials to local business processes, languages, and regulatory requirements.

Own the technical direction and operational reliability of complex AI-driven business products. Act as a technical owner for MLOps capabilities across a multi-module AI and analytics product ecosystem. Define and evolve MLOps principles, deployment standards, and operational reliability expectations. Serve as a key technical partner for Product Owners, business stakeholders, and technical teams. Translate business needs and technical requirements into clear MLOps and technical direction. Guide engineering teams through MLOps decisions, architectural trade-offs, and solution design choices. Promote engineering excellence, standardization, reliability, and operational discipline across the AI product landscape.

Drive the global transformation of CRM platforms into a single enterprise solution. As a business-facing Product Owner, you will work with stakeholders to define product roadmap, translate requirements, and ensure alignment between global standards and local market needs.

Experienced Data Engineer needed to design, build, and maintain data pipelines using Azure Data Factory and Microsoft Fabric. Responsibilities include data ingestion, transformation, and secure data access management. Strong Power BI knowledge (including DAX, Power Query, and Row-Level Security) and experience with data pipeline orchestration are required.

The Project Manager (GBS) will manage designated projects in finance and procurement, ensuring delivery of project objectives and proactively engaging stakeholders. Responsibilities include managing project risks, understanding end-to-end processes, and ensuring project documentation is robust. The role requires 5+ years of project and PMO experience, demonstrable experience in a complex matrix management environment, and experience in CI projects and Six Sigma methodology.

Execute manual web application tests, evaluate product against specifications, and report technical issues and bugs.

Data Engineer to develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Responsibilities include designing data pipelines, optimizing data workflows, and collaborating with cross-functional teams. Requires 3+ years of experience with Big Data technologies (Spark, Cloudera, Airflow), cloud services (AWS), and Python (or Java/Scala).

Lead and grow the SME and Corporate Sales organization, driving revenue targets and shaping sales strategy. Build a high-performing team, implement scalable processes, and leverage AI-powered sales tools. Collaborate with cross-functional teams to improve customer growth and commercial performance.

Senior Road Engineering Designer will independently carry out design tasks, prepare technical analyses, 3D models, and reports. The role involves site visits, client meetings, and design workshops. Support assistants/junior engineers in their daily project work. The ideal candidate has a University degree in Civil Engineering and at least 8 years of experience in a similar role. Proficiency in MS Office, AutoCAD and/or MicroStation, Bentley OpenRoads, and modeling software is required. Strong English skills and demonstrable independence, proactiveness, and commitment are essential.

Data Engineer needed to design, implement, and maintain scalable data pipelines in Azure and Databricks. Must have strong knowledge of Azure data services, Databricks, and Apache Spark. Experience with ETL/ELT processes, SQL, and Python, Scala, or Java is required.

Data Engineer to build and maintain data pipelines using MS Fabric & Azure. Develop data architecture, optimize performance, and implement data governance best practices. Requires commercial experience with MS Fabric Azure cloud services, SQL, and Python.

Backend Engineer to develop and maintain Python-based microservices in a distributed environment. Will design scalable backend services, integrate APIs, and collaborate with cross-functional teams. Requires 3+ years of backend development experience with Python, microservices architecture, and RESTful APIs. Familiarity with AWS, Docker, CI/CD pipelines, and third-party API integration is essential.

Guidewire Developer will work with the Guidewire Insurance Suite in a cloud-native environment (Azure, microservices, CI/CD). Requires knowledge of Gosu, problem-solving skills, and proficiency in English. Experience with microservices architecture, relational and NoSQL databases, Python, or GenAI technologies is a plus.

Analytics Engineer to build and scale data models for a fintech company. Responsibilities include developing dbt models, collaborating with stakeholders, and ensuring data quality. Requires 5+ years of experience with dbt, cloud data warehouses, and SQL. Strong communication and collaboration skills are essential. Fluent Polish required.

Oversees functional and technical solution implementation, aligning with S/4HANA template and best practices. Defines technical/functional roadmap for S/4HANA environment. Configures MM/WM/PP/LE modules, collaborates with teams on process design and deployment, and contributes to POCs and prototypes.

Develop and deploy full-stack applications and services leveraging AI and agentic systems to simplify Google Kubernetes Engine (GKE) management. Lead architecture, collaborate with cross-functional teams, and mentor junior engineers.

Fullstack Developer to design and evolve application architecture for a mature enterprise financial management platform. Lead development using Java, React, and TypeScript, promoting engineering best practices. Drive adoption of AI-assisted development tools and mentor engineers.

Data Engineer will build and launch data pipelines and models in Azure cloud environments. Collaborate with clients, implement best practices, and optimize analytical solutions. Requires 2+ years of experience as a Data Engineer, 1+ year with cloud platforms (Azure preferred), 2+ years of Python and SQL, and understanding of DWH data modeling.