386 2022 Pomeranian Voivodeship English-speaking jobs in Greater Poland Voivodeship

Data Engineer needed to design and build a new streaming platform (Kafka → Databricks with Declarative Pipelines). Responsibilities include migrating existing batch workflows and keeping the current platform stable while improving its reliability. Strong consulting mindset and experience working with business stakeholders required. Experience with Databricks, Spark, and streaming technologies is a plus.

Lead design, development, and ownership of integrations platform and services. Build scalable systems using Node.js, PHP, microservices, and a PHP monolith. Implement API integrations, webhooks, message queues, and event-driven architectures.

Senior Data Scientist to build and maintain machine learning models for predictive analytics, optimization, and forecasting. Experience with Azure, Databricks, Python, and ML libraries required.

Network Architect to design, implement, and maintain enterprise-grade network infrastructure. Requires 7+ years of experience in network engineering, including Data Center environments. Expert knowledge of networking protocols (TCP/IP, BGP, OSPF) and high-availability architectures. Hands-on experience with AWS networking services and colocation integration. Strong communication skills in English (B2 or higher). Ability to work autonomously and willingness to undergo security clearance.

Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management. Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer. Translate business requirements into technical solutions in collaboration with the Product Owner and Architect. Contribute to CI/CD processes in Azure DevOps.

Leads a team of engineers focused on developing capabilities aligned with the function's vision. Defines the architectural roadmap and technical execution for products enabling customer engagement and measurement strategies. Partners with business product owners across Roche International affiliates. Responsible for selecting, designing, and integrating cutting-edge technologies.

Provides IT support for the operation and continuous improvement of strategic HR applications (Workday, SAP). Manages system monitoring, maintenance, troubleshooting, and reporting. Designs, configures, and develops IT systems integrations. Requires experience with ERP systems, strong communication skills, and fluency in English.

Provides on-site IT support for end users, including Microsoft 365 tools, end-user devices, and meeting room equipment. Supports local IT infrastructure, manages IT assets, and coordinates with external vendors. Requires experience in an IT Technician/IT Support role, knowledge of Microsoft 365, and strong customer service skills.

Leads the architectural roadmap and technical execution for a portfolio of products enabling Marketing, Sales, Omnichannel, and Commercial value streams. Partners with Pharma International affiliates and Business Product Owners (BPO) to select, design, and integrate cutting-edge technologies.

Develop embedded software for IoT and robotics solutions. Design firmware, integrate with cloud platforms, and contribute to product launches. Requires C++ experience, embedded systems knowledge, and strong communication skills.

Senior Product Designer Leader will shape design practice, lead a team, and work on client projects. Responsibilities include defining design standards, leading workshops, ensuring design quality, and staying current on industry trends. Must have 6+ years of experience, including 2+ years of leadership, proficiency in Figma and Mural, and experience with AI design tools.

Analyze applicant financial data to assess mortgage repayment capacity. Verify income, review credit history, and calculate debt-to-income ratios. Prepare credit recommendations and adhere to risk policies.

IT Information Analyst will translate business requirements into functional user stories and implement test scripts. Responsibilities include planning and guiding software releases, providing third-line support, and participating in international projects. Requires a Bachelor's degree in IT or related field, experience with application implementation and support, and proficiency in Oracle, Python, XML, API, and scripting.

Azure Data Engineer needed to design, architect, and implement secure, cloud-native data platforms on Azure. Requires 3+ years of programming experience, Azure expertise, and proficiency in technologies like Spark, Databricks, and Airflow.

Lead and grow a Salesforce engineering team, shaping the platform's technical direction and driving a major architectural transformation.

Analytics Engineer needed to build scalable data pipelines and ensure a future-proof data warehouse. This role involves collaborating with stakeholders, integrating complex source systems, and designing robust data pipelines. Strong SQL, data modeling (Kimball/Data Vault), and communication skills are required.

Senior Backend Engineer (Java) to design, build, and deliver scalable APIs and CI/CD pipelines. Requires 5+ years of Java experience, including Spring Boot, GCP, and Terraform. Experience with NoSQL databases and a customer-centric approach are essential. Basic Golang and Kotlin skills are a plus.

Data Engineer to build and maintain Kramp's data infrastructure. Responsibilities include designing, developing, and documenting dataflows in Python, Java, and SQL. Experience with cloud platforms (GCP preferred), data modeling, and CI/CD workflows is required.

Lead the development and implementation of Machine Learning solutions, ensuring alignment with project objectives. Design AI solution architectures, research and select tools and technologies, and understand client needs. Architect and oversee data pipelines and workflows, coordinate with Data Engineering and Software Engineering teams. Present findings and recommendations to stakeholders.

Senior Data Engineer will develop and maintain a high-performance data processing platform for automotive data. Responsibilities include designing and implementing data pipelines, optimizing data workflows, and collaborating with cross-functional teams. Requires at least 5 years of experience implementing Big Data systems, strong Python programming skills, and hands-on experience with technologies like Spark, Cloudera, Kafka, Airflow, NiFi, Docker, and Iceberg.