696 2022 pomeranian voivodeship English-speaking jobs in Pomeranian Voivodeship

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.

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).

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).

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 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 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.

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.

Senior Azure DevOps Engineer with .NET background needed to design, build, and evolve cloud platforms with a focus on Azure Cloud services. Responsibilities include leading on-premises to cloud migration initiatives, implementing automated deployment pipelines, and driving platform security testing. Requires 6+ years of experience in infrastructure, software engineering, or DevOps with strong expertise in Microsoft Azure Cloud services, at least 2 years of experience with .NET, and proficiency in Infrastructure as Code (Terraform and/or Bicep and/or Pulumi) and scripting/programming languages such as PowerShell, Bash, SQL, and KQL.

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.

Senior Workday Consultant to lead the design, implementation, and optimization of Workday solutions across HR processes. Will guide junior consultants, collaborate with stakeholders, and ensure high-quality delivery across all project stages. Requires 3+ years of experience as a Workday Consultant with expertise in HRIS, LMS, or Performance Appraisal modules.

Provide consulting services for clients in automotive, aerospace, and mechanical engineering sectors. Apply Teamcenter expertise to design and deliver solutions. Analyze systems, gather requirements, and create design specifications. Implement Teamcenter solutions through configuration and customization.

Data Science Consultant will translate business challenges into AI-driven solutions, designing and delivering end-to-end data science and GenAI use cases. Responsibilities include building LLM-based applications, prototyping agentic AI, developing models in Python, and working with cloud AI stacks.

Sets AI strategy, leads end-to-end AI initiatives, and architects scalable ML and Generative AI systems. Requires proven experience delivering AI systems, expertise in ML, Generative AI, and agentic AI architectures, and strong Python skills.

Technical Architect needed for a data warehouse project. Experience with Teradata and Oracle databases, data warehousing, SQL, and ETL tools required. Collaborate with stakeholders to design and implement a scalable data warehouse architecture.

Designs and leads end-to-end cloud and data architectures on Google Cloud Platform. Translates business requirements into secure, scalable, and cost-efficient solutions. Guides teams through complex transformations and acts as a trusted advisor for cloud, data, and AI topics.

Senior DevOps/Site Reliability Engineer will architect, implement, and manage Microsoft Azure resources. Design and maintain CI/CD workflows using Git, Github Actions, SonarQube Cloud, Terraform, and Docker. Develop and monitor SLOs, SLIs, and golden signals; instrument applications and infrastructure. Lead incident response and root cause analysis. Administer Ubuntu, RHEL, CentOS, and (entry-level) Windows Server environments. Utilize Atlassian Suite for documentation, ticketing, and project tracking. Integrate and leverage AI productivity tools. Create dashboards and business reports.

Business System Analyst to collaborate with stakeholders, document business strategies, and translate them into technical requirements for IT. Requires experience in IT and/or business analysis, SQL, Jira, Confluence, REST, and SOAP APIs.

Business System Analyst to collaborate with stakeholders, document business strategies, and translate them into technical requirements for IT. Requires experience in IT and/or business analysis, SQL, Jira, Confluence, REST, and SOAP APIs.

Senior Test Automation Engineer to design, develop, and maintain automated test suites in a C#/.NET 8 environment. Experience with Pega platform, UI automation (Playwright), API automation (HttpClient/RestSharp), and CI/CD pipelines (Bitbucket/Bamboo) required.

Senior IT Analyst to maintain application stability in production environments. Requires 5+ years of experience in application support, production support, or IT analysis, with experience in banking or financial services. Strong analytical and troubleshooting skills are essential. Must have working knowledge of Splunk and excellent English communication skills.