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Philip Morris International is seeking a Platform Engineer in Kraków (hybrid Poland) or Lisbon (remote Portugal) to help optimize our data infrastructure and support data management platforms across teams. You will…
Senior Data Engineer leading the design and development of enterprise data platforms (Snowflake, SQL, ELT, Matillion) to enable analytics, AI, and data-driven decision making at Philip Morris International in Kraków.
The Platform Engineer will optimize data infrastructure and streamline operations in an Agile environment. The role focuses on maintaining scalable, observable data management components using cloud, scripting, and CI/CD technologies.
Platform Engineer maintaining and evolving PMI's global data platform—data catalog, quality, lineage, observability—using AWS, Snowflake/Databricks, dbt, Python, Terraform, and CI/CD tooling.
Senior Data Platform Engineer responsible for managing and evolving PMI's data infrastructure—data catalog, quality, lineage, and observability components—on AWS using tools like Snowflake, Databricks, dbt, Terraform, and CI/CD pipelines.
Leads data platform components for a global company, ensuring data quality, governance, security, and scalability across hybrid Poland and remote Portugal teams using backend and modern data tools.
Philip Morris International in the Philippines is seeking a data engineer to join PMI Global Business Solutions in a hybrid Makati setting. You will innovate, build and optimize data systems that enable trusted…
Job Description: MAKE HISTORY WITH US! At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future. With huge…
Leads cloud data platform engineering at Philip Morris International, building scalable AWS/Snowflake pipelines with Matillion and dbt to power analytics and AI across the enterprise.
Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using AWS, Snowflake, Matillion, and dbt to power analytics and AI at Philip Morris International.
Build and maintain analytics-ready data pipelines and datasets for business insights, ensuring data quality and reliable delivery under guidance.
Build and maintain data pipelines, ETL/ELT logic, and curated datasets to power analytics and dashboards for a smoke-free future initiative.
Lead AI/ML and data-science projects at Philip Morris International Indonesia, turning business needs into AI capabilities and integrating them into digital initiatives.
Drive AI/ML and data-science projects to embed analytics and automation into PMI’s digital transformation, building models and BI dashboards that support a smoke-free future.
Build scalable backend services for IoT devices using AWS cloud and microservices, integrating real-time data and AI-assisted development tools.
Build and scale backend services for an IoT platform, integrating AI tools and AWS cloud to process real-time device data and automate engineering workflows.
Build and scale a production-grade ML platform for 300+ data scientists using Databricks MLOps and AWS SageMaker, automating CI/CD, monitoring, and multi-tenant infrastructure with Python and Terraform.
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