1912 English-speaking jobs in Pomeranian Voivodeship

Leads end-to-end management of major IT incidents, ensuring timely service restoration and minimal business disruption. Coordinates technical bridge calls and virtual war rooms, engaging stakeholders across infrastructure, development, and support teams.

Migration Environment Owner manages lower and higher environments, supporting Go Live events and resolving scheduling conflicts. Responsible for environment requirements, planning, and user access. Requires several years of experience in IT project management, fluency in English, and strong collaboration skills.

Data Operations Engineer needed to ingest data into Hadoop using the ARC Ingestion Framework. Maintain and support existing data sources, troubleshoot ingestion issues, and collaborate in an Agile environment.

Support the Program Management Office (PMO) within the DORA program. Prepare executive reports, coordinate activities, track risks and dependencies, and collaborate with stakeholders.

Supports the Program Management Office (PMO) within the DORA program. Prepares reports, coordinates activities, tracks risks and dependencies, and communicates with stakeholders.

Leads end-to-end management of major IT incidents, ensuring timely service restoration and minimal business disruption. Coordinates technical bridge calls and virtual war rooms, engaging stakeholders across infrastructure, development, and support teams.

Migration Environment Owner manages lower and higher environments, supporting Go Live events and resolving scheduling conflicts. Responsible for environment requirements, planning, and user access. Requires several years of experience in IT project management, fluency in English, and strong collaboration skills.

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).

As a Data Engineer, you will design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management. You will also configure and manage linked services and datasets within ADF, monitor, troubleshoot, and optimize pipelines, and develop and maintain ETL/ELT processes.

.NET Developer needed for 2nd line support on a project with a flexible, on-call schedule. Responsibilities include analyzing and diagnosing issues, bug fixing, and collaborating with other developers. Requires 3+ years of experience in .NET backend development, C#, ASP.NET Core API, and Entity Framework Core.

Develop and maintain backend applications using .NET 8, build REST APIs, and support system architecture design. Experience with AI tools, microservices, and Docker required.

Lead a team of data platform engineers in designing and maintaining data platforms integrating lakehouse technologies, distributed compute frameworks, and cloud-native services. Drive architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable solutions.

Lead Data Scientist will own end-to-end delivery of classification and forecasting projects, setting technical direction and ensuring quality. Responsibilities include data exploration, model development and validation, stakeholder engagement, and production collaboration. Requires strong classical data science and ML background, commercial experience, and expertise in customer analytics or advanced forecasting.

AI DevOps Engineer to design and deliver AI, ML, and GenAI solutions at enterprise scale. Focus on cloud engineering, automation, and deploying LLM and SLM models into production environments. Requires 5 years in DevOps or Cloud Engineering with AI/ML exposure, proven LLM and SLM deployment experience, and expert Linux and macOS administration skills.

Lead AI DevOps Engineer to design and deliver AI, ML, and GenAI solutions at scale. Responsibilities include architecture and deployment leadership, infrastructure automation, CI/CD for AI workloads, cloud infrastructure design, and technical advisory work. Requires 5 years in DevOps or Cloud Engineering with AI/ML exposure, proven LLM and SLM deployment experience, and expert Linux and macOS administration skills.

Data Scientist Consultant will work on end-to-end machine learning projects, including problem framing, data preparation, model development, and deployment. Experience in customer analytics, forecasting, and model validation is required.

Integration Specialist to design and implement finance automation solutions using Redwood. Experience with financial/banking processes and system integration required.

Designs, develops, and maintains Power BI reports and dashboards. Creates data models, relationships, measures, and calculations using DAX. Integrates data from various sources and writes KQL queries for telemetry and logging data. Analyzes data from platforms like Azure Monitor and interprets logs from embedded/firmware devices. Collaborates with stakeholders to translate requirements into technical solutions.

As a DevOps Engineer, you will build, automate, and manage CI/CD pipelines using Azure DevOps to streamline application code deployment and infrastructure provisioning on Azure. You will collaborate with cross-functional teams and utilize Terraform, K8, and/or other IaC tools to define and deploy infrastructure components.

Designs and builds backend services and automation workflows for data-driven applications and Power BI semantic model management. Develops Databricks pipelines, automates data refresh flows, and manages Power BI semantic models programmatically. Integrates with Azure services and collaborates with data engineers, BI developers, and business stakeholders.